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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Prepare for Microsoft Exam DP-900 and demonstrate your knowledge of fundamental data concepts and Microsoft Azure data services. Description This Exam DP-900: Microsoft Azure Data Fundamentals video is designed to help you begin to work with data in the cloud. This video focuses on the skills measured by the exam objectives, as updated by Microsoft in April 2021. Describe core data concepts Describe how to work with relational data on Azure Describe how to work with non-relational data on Azure Describe an analytics workload on Azure Using his years of experience working with data and teaching data best practices to a variety of learners, Microsoft Certified Trainer Chris Sorensen explains core concepts related to working with data in Azure. In his engaging style grounded in real-world scenarios, Chris gives you insights to relational and non-relational data, different types of workloads, and analytical best practices. With Chris as your guide, you are well-equipped to successfully attempt the DP-900 exam and advance in your career as a data engineer or database administrator. About the Instructor Chris Sorensen, CPA, CGA, is the Founder and President of Iteration Insights, a tech-enabled data analytics solutions provider based in Calgary, Alberta. He is a Microsoft Certified Data Analyst Associate and Microsoft Certified Trainer with a combined 20+ years of industry and teaching experience. In his career, he has led numerous Analytics projects in more than 15 industries across small to enterprise-sized organizations. As an adjunct instructor of the Business Intelligence program at SAIT, he plays a significant role in shaping new talent in Calgary's emerging tech sector. Following his lifelong learning approach, Chris also coordinates both Power Platform and Azure Analytics User Groups, providing a space dedicated to knowledge-sharing and growing Alberta's tech community. His favourite hashtag is #neverstoplearning. Skill Level Beginner to Intermediate Who Should Take This Course Certification candidates preparing for exam DP-900 Microsoft Azure Data Fundamentals Analysts or admins beginning to work with data in the cloud Course Requirements Foundational knowledge of core data concepts About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal techn...
    Note: Online resource; Title from title screen (viewed September 8, 2021) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469078045
    Language: English
    Pages: 1 online resource (53052 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Around the world, users cost organizations billions of dollars due to simple errors and malicious actions. They believe that there is some deficiency in the users. In response, organizations believe that they have to improve their awareness efforts and making more secure users. This is like saying that coal mines should get healthier canaries. The reality is that it takes a multilayered approach that acknowledges that users will inevitably make mistakes or have malicious intent, and the failure is in not planning for that. It takes a holistic approach to assessing risk combined with technical defenses and countermeasures layered with a security culture and continuous improvement. Only with this kind of defense in depth can organizations hope to prevent the worst of the cybersecurity breaches and other user-initiated losses. Using lessons from tested and proven disciplines like military kill-chain analysis, counterterrorism analysis, industrial safety programs, and more, Ira Winkler and Dr. Tracy Celaya's You CAN Stop Stupid provides a methodology to analyze potential losses and determine appropriate countermeasures to implement. Business technology and security professionals will benefit from the information provided by these two well-known and influential cybersecurity speakers and experts.
    Note: Online resource; Title from title page (viewed January 26, 2021) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781663712011
    Language: English
    Pages: 1 online resource (27571 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: The future of work swept in sooner than expected, accelerated by Covid-19, creating an urgent need for new maps, new mindsets, new strategies-and most importantly, a trusted guide to take us on this journey. That guide is Jeff Schwartz. A founding partner of Deloitte Consulting's Future of Work practice, Schwartz brings clarity, humor, wisdom, and practical advice to the future of work, a topic surrounded by misinformation, fear, and confusion. If you're anxious about robots taking away your job in the future, you will take comfort in the realistic perspective, fact-based insights, and practical steps Schwartz offers. If you're not sure where to even begin to prepare, follow his level-headed advice and easy-to-follow action plans. If you're a business leader caught between keeping up, while also being thoughtful about the next moves, you will appreciate the playbook directed at you. Written in a conversational style by Schwartz, with Suzanne Riss, an award-winning journalist and book author, Work Disrupted offers a welcome alternative to books on the topic that lack a broad perspective or dwell on problems rather than offer solutions. Timely and insightful, the book includes the impact of Covid-19 on our present and future work. Interviews with leading thinkers on the future of work offer additional perspectives and guidance.
    Note: Online resource; Title from title page (viewed February 23, 2021) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781663711212
    Language: English
    Pages: 1 online resource (42728 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Steve Jobs tried to stop this moment from ever happening. Google and Microsoft made bids to preempt it. The music industry blocked it time and again. Yet, on a summer's eve in 2011, the whiz kid CEO of a Swedish start-up celebrated his company's US launch. In the midst of the Apple-Android tech war and a music label crusade against piracy and illegal downloading, Spotify redrew the battle lines, sent shockwaves through Silicon Valley, and got the hardline executives at Universal, Sony, and Warner to sign with its "free-mium" platform. In The Spotify Play, Swedish investigative tech journalists Sven Carlsson and Jonas Leijonhufvud, who covered the company from its inception, draw upon hundreds of interviews, previously untapped sources, and in-depth reporting on figures like Mark Zuckerberg, Sean Parker, Steve Jobs, Taylor Swift, Jay-Z, Pony Ma Huateng, and Jimmy Iovine. They have captured the riveting David vs. Goliath story of a disruptive innovator who played the industry giants in a quest to revolutionize the consumption of sound, building today's largest online source of audio, with more than 50 million songs, one million-plus podcasts, and over 300 million users.
    Note: Online resource; Title from title page (viewed January 26, 2021) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw Hill-Ascent Audio | Boston, MA : Safari
    ISBN: 9781638410775
    Language: English
    Pages: 1 online resource (36073 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Every year, managers at companies large and small are finding it harder to compete with the likes of Google and Amazon, who are stealing their customers and cornering every conceivable market and service. There is, however, a way for companies to survive-and win-in this era of digital behemoths. Choose Your Customer is a powerful, customer-targeted guide that can help managers level the playing field against their biggest competitors. Written by Jonathan Byrnes, the legendary MIT-based expert on profits, pricing, and strategy, and John Wass, a key member of the team that made Staples a major national brand, Choose Your Customer shows you how to: identify the customers who are the most profitable-and focus on them; provide services and experiences that can't be replicated by the tech giants, no matter how much data they have or how much automation they use; support your chosen customers' diverse and rapidly evolving needs to accelerate profitability and growth; and focus on your real profit core and build dominance in your specific target market. From unbeatable customer service to superior pricing and product selection, Choose Your Customer provides detailed and actionable advice on how to compete successfully with the aggressive giants, grow your customer base, and increase your profits for lasting success.
    Note: Online resource; Title from title page (viewed August 17, 2021) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781663710031
    Language: English
    Pages: 1 online resource (41243 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: As CEOs and business leaders navigate a world of complex global challenges, sustainability is no longer optional but a business imperative. In this book, two sustainability leaders with decades of experience-Henrik Henriksson, CEO of Scania and Elaine Weidman Grunewald, cofounder of the AI Sustainability Center, and former chief sustainability and public affairs officer at Ericsson-offer a simple but powerful three-step model for leading an organization on a sustainability transformation journey that aims at big, audacious, world-changing goals. Honest about the dilemmas but bullish on the opportunities, the authors advise leaders on how to accelerate sustainability in their organizations told through a Swedish lens, where the country's values and culture permeate the boardroom and the C-suite, bringing a unique clarity and conviction to leading with integrity. In practical insights gleaned from the authors' own experience, the book takes leaders through the three phases of sustainability leadership: from establishing a solid foundation rooted in purpose, culture, values, principles and consistent, credible leadership, to integrating sustainability into the core business, and then to executing a vision that not only shifts the direction of the company but can change an entire industry, and even the world.
    Note: Online resource; Title from title page (viewed February 16, 2021) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 7+ Hours of Video Instruction Discover how you can use Power BI to help your organization to become more data driven. Whether you are new to analytics or have been stuck preparing and delivering data using legacy BI tools, this video shows you how to use Microsoft Power BI with confidence. In this video, learn ways to import data from various sources as well as how to transform and cleanse data prior to loading it to a report-ready, self-service-enabled data model. Create visualizations in the Power BI Desktop and then secure, share, and collaborate using the various features in the Power BI service. Using his years of experience teaching Power BI to a variety of learners, Microsoft Certified Trainer Chris Sorensen explains the core concepts of Power BI to expose you to the most widely used features and functions in Power BI. He carefully explains the “why” behind using those features, not just the “how.” In his engaging style grounded in real-world scenarios, Chris gives you the confidence to navigate and build effective Power BI solutions, quickly and effectively. Build good habits and develop in your career as a business analyst or data-driven business user. About the Instructor Chris Sorensen CPA, CGA, is the Founder and President of Iteration Insights, a tech-enabled data analytics solutions provider based in Calgary, Alberta. In his career, he has led numerous Analytics projects in more than 15 industries across small to enterprise-sized organizations. He is a Microsoft Certified Data Analyst Associate and Microsoft Certified Trainer with a combined 20+ years of industry-solution delivery and teaching experience. He has evangelized both Excel and Power BI with Microsoft since July 2015 and is the author of the Microsoft Press Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel and co-author of Data Analysis Fundamentals with Excel (Video) published by Microsoft Press. Skill Level Beginner-Intermediate Learn How To Import and transform data in Power Query Editor Build a data model that supports self-service analysis Develop reports and visualizations using the Power BI Desktop Enhance the experi...
    Note: Online resource; Title from title screen (viewed May 14, 2021) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Edition: 1st edition
    Keywords: Streaming video ; Internet videos ; Electronic videos ; local ; Electronic videos ; Vidéos sur Internet ; streaming video ; Internet videos ; Streaming video ; Vidéo en continu
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 8+ Hours of Video Instruction Prepare for Microsoft Exam DA-100 and demonstrate your mastery of Power BI data analysis and visualization. This Exam DA-100: Analyzing Data with Microsoft Power BI video is designed for data analysts responsible for designing scalable data models, cleaning and transforming data, and presenting analytic insights through data visualizations using Power BI. This video focuses on the skills measured by the exam objectives, as updated by Microsoft on July 29, 2021. Prepare the data Model the data Visualize the data Analyze the data Deploy and maintain deliverables Using his years of experience teaching Power BI to a variety of learners, Microsoft Certified Trainer Chris Sorensen explains how to optimize Power BI features and functions and prepares you for what to expect on the DA-100 exam. In his engaging style grounded in real-world scenarios, Chris gives you insights to navigate and build effective Power BI solutions, quickly and effectively. With Chris as your guide, you are well-equipped to advance in your career as a data analyst. About the Instructor Chris Sorensen, CPA, CGA , is the Founder and President of Iteration Insights, a tech-enabled data analytics solutions provider based in Calgary, Alberta. He is a Microsoft Certified Data Analyst Associate and Microsoft Certified Trainer with a combined 20+ years of industry and teaching experience. In his career, he has led numerous Analytics projects in more than 15 industries across small to enterprise-sized organizations. As an adjunct instructor of the Business Intelligence program at SAIT, he plays a significant role in shaping new talent in Calgary’s emerging tech sector. Following his lifelong learning approach, Chris also coordinates both Power Platform and Azure Analytics User Groups, providing a space dedicated to knowledge-sharing and growing Alberta’s tech community. His favorite hashtag is #neverstoplearning. Skill Level Intermediate Who Should Take This Course Certification candidates preparing for Exam DA-100: Analyzing Data with Microsoft Power BI Data analysts who want to use Microsoft Power BI to maximize their data asse...
    Note: Online resource; Title from title screen (viewed August 11, 2021) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Amy Daali - Chair at IEEE Engineering in Medicine & Biology Society With recent advancements in artificial intelligence, the healthcare industry is primed to benefit significantly from Machine Learning and Deep Learning technologies. This talk will answer the burning question on who is going to fight for AI in healthcare? New concepts such as “DIY healthcare” will be explored. We will discuss key important players who are going to lead the battle and drive AI adoption in 2020. Together, we will navigate the current Health Technology Landscape and uncover the different challenges that are preventing the implementation of AI. We will conclude the talk by exploring how we can improve collaboration between the Data Science and Medical community to speed up AI adoption in healthcare.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stores to have the most personalized experience with easier product discovery. To enable this, I have built recommendation systems based on live and past user behavior and with minimal infrastructure. The talk features two main areas: 1. How to work with minimal data, implicit feedback and business to build recommender systems that satisfy users needs while keeping in mind overarching business KPIs 2. How to use real stream of events and past indications to give a completely personalized experience that can keep updating based on user interaction with minimal architectural requirements.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital Forecasting is widely used in a number of business, but can it be used to optimize operations in an emergency department? This talk will walk through the development of a forecasting model to predict future arrivals to the emergency department. We will review the fundamentals of forecasting, discuss feature engineering, and how to get your first forecast off the ground.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Paul Barrett - Managing Director, Accenture Applied Intelligence Personalization drives more relevant conversations with advertisers and audiences. The key to personalization is data, algorithms and offers. Algorithms feed off data. The data environment is becoming more competitive and more regulated. AI at scale makes it possible to utilize internal and external data sources that were previously too complicated, too expensive or too big. The Dark Data sources can now be utilized to: • Enhance sales leads to drive better propensity scoring, better targeting and drive better sales interactions • Create a deeper understanding of audiences to create more relevant microsegments for better targeting, messaging and greater engagement. Companies that can master AI at scale can create Real-time Analytical Pipelines turning data science into Ai Enhanced customer interactions. Growing sales, Engagement and other key metrics. This talk will cover how companies are leveraging Dark Data and Ai pipelines to transform analytics into Ai enhanced interactions.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469079400
    Language: English
    Pages: 1 online resource (28941 pages)
    Edition: 1st edition
    Keywords: Business ; Audiobooks ; businesses (business enterprises) ; Business ; Affaires
    Abstract: Conventional business wisdom tells us that entrepreneurs are society's main source of innovation. Young founders leave college with a big idea, get to work in a garage, and build something that changes the world. Typical corporate employees, strangled by slow-moving bureaucracy, are blocked from making transformative discoveries. In Driving Innovation from Within, strategist and advisor Kaihan Krippendorff disproves one of today's biggest business myths to highlight lessons for innovators and leaders. He reveals how many of the modern world's most impactful creations were invented by passionate employee innovators. If it were left up to go-it-alone entrepreneurs, we would not have mobile phones, personal computers, or e-mail. Distilling more than 150 interviews with internal innovators and leading experts along with insights from the latest research and today's most successful companies, from Tencent and Amazon to Mastercard and Starbucks, Krippendorff lays out a step-by-step playbook to unlock innovation from the inside. He maps the barriers that frustrate efforts to disrupt from within and provides tools to remove them, detailing how visionary leaders can create islands of freedom inside an organization to activate existing employees' potential and beat startups at their own game.
    Note: Online resource; Title from title page (viewed February 11, 2020) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Stanislaw Schmal Combining IoT and sensor analytics opens a new world of operations and maintenance efficiency. A real-world demonstrator of audio analytics and customized IoT device will be shown and its business application to condition based maintenance will be discussed in this session.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Raktim Saha – Director, Digital Insights, CGI The focus of this talk is to showcase how Machine learning and AI is leveraged to radically outperform traditional loan-underwriting acceptance process for one of the largest lenders in US by utilizing a broader set of market, demographic, and various events data. Implementing an automated data-driven process in a large Enterprise and especially in a highly regulated industry has its own challenge spanning from data collection to accuracy of insights, and finally streamline the overall process. The speaker will cover the business, data, and technical aspects of this implementation.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Boryana Manz – Manager, Data Science at Capital One Model monitoring can make or break how models empower and deliver business value. This talk will highlight the key components for the proactive design of integrated and flexible model monitoring. It will include best practices for making the process seamless, flexible and actionable.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 17
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Kelsey Redman – AVP, Data Science at Comerica Bank Purchasing 3rd party data on individuals can give great insights on customers, but first we have to know which individuals from that outside data source are actually customers and which are just prospects. Without a unique identifier like SSN or Driver’s License number from the 3rd party data, we have to use a combination of name, address, and demographic information to identify the matching customer. Between nicknames, misspelled names and addresses, and family members with similar names all at one address, this quickly becomes a difficult task involving heavy data cleanup and an increasingly complicated series of rules. In this presentation, we demonstrate some techniques to help resolve these entities across data sources by employing the use of supervised classification machine learning techniques to quantify and predict entity “likeness.” We showcase some of the challenges we faced with exploring other entity resolution methods, with manually labeling a comprehensive training set, and how this approach might extend to solve other data issues.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 18
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469078540
    Language: English
    Pages: 1 online resource (20183 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Develop your leadership communication Communicating with Mastery provides listeners with a rich treasure trove of frameworks and tools for leadership communication as developed and taught over the past decade at Stanford's Graduate School of Business. Designed for the business leader on the go, it provides you quick access to helpful approaches to vexing communication problems leaders face today in speaking and writing to various audiences. Projects often fail not because of the vision, but in the articulation of that vision. With the help of this book, you'll learn how to ensure you get the results you desire as a leader and communicator, including: speak with conviction and write with impact; tailor your communication to any goal, setting, or audience; and scale your leadership through effective coaching. Every time you write or speak, you need to make your words count. And this book shows you how.
    Note: Online resource; Title from title page (viewed February 25, 2020) , Mode of access: World Wide Web.
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  • 19
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Alex Schwarm – VP/Head of Data Science at Dun & Bradstreet For many teams, the most challenging step in delivering useful results, is less about the modeling techniques and methods and more about having access to the right data with the appropriate data coverage of the domain of interest. In this talk, we will describe two specific use cases where data pays a crucial role: one around identifying supply chain risks and one related to prospect targeting. For the supply chain risk use case, we will describe how access to unique data assets reveals the impact of the Coronavirus on supply chains and how this impacts global businesses. We will also describe how some companies are offering data scientists the ability to access data to determine which data assets best solve their business analytics and modeling needs, with a particular focus on prospect targeting.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Moody Hadi – Group Manager – Financial Engineering at S&P Global Market Intelligence Counterparty financial statements, particularly for small and medium enterprises can be difficult to handle. Financial analysts need to be able to distill out relevant line items in order to calculate their credit exposure to a counterparty for lending purposes. The solution solves a labor intensive, expert driven inefficient process and frees up the analysts to focus on their high value add operations. This involves combining Optical Character Recognition using pre-trained language neural networks, with context sensitive semantic matching. We will go over the developed ML pipleline and architecture.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 21
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Seemit Sheth – Head of Data Science at Capital One Micah Price – Principal Associate Data Scientist at Capital One Capital One is one of the pioneers of ‘Information based strategy’ which is essentially what we call today as data science. The world of data science in banking has evolved over time and now data science powers strategies in many diverse areas of a bank, aided by cutting-edge technologies. In this talk, we will go over a glimpse of its past, present and how it is changing banking for good as we move toward the future. In particular, we will also explore how cutting-edge algorithms and technologies are improving customer experiences.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 22
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility This presentation discusses how AI, machine learning and data publicly available is playing a role in smart cities, walking through applications developed using ML to solve practical transportation for smart cities globally.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 23
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Jesse Barbour – Chief Data Scientist at Q2ebanking Due to the specialized and sophisticated nature of many commercially focused financial products offered by banks and fintechs, building recommender systems around those products is especially difficult. Taking inspiration from the field of neural language modeling, we will discuss an application of learning node embeddings on a large-scale financial transaction graph in order to solve this problem.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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    ISBN: 9781469083209
    Language: English
    Pages: 1 online resource (26374 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Leaders have experimented with open innovation programs, corporate accelerators, venture capital arms, skunkworks, and innovation contests. They've trekked to Silicon Valley, Shenzhen, and Tel Aviv to learn from today's hottest, most successful tech companies. Yet most would admit they've failed to create truly innovative cultures. There's a better way-and it all starts with the power of habit. In Eat, Sleep, Innovate, innovation expert Scott Anthony and his impressive team of coauthors use groundbreaking research in behavioral science to provide a first-of-its-kind playbook for empowering individuals and teams to be their most curious and creative-every single day. Throughout the book, the authors reveal dozens of hacks and habits they've collected from workplaces across the globe that will unleash the natural innovator inside everyone. In addition to case studies of "normal organizations doing extraordinary things," they provide listeners with the tools to create their own hacks and habits, which they can then use to build and sustain their own models of a culture of innovation. Fun, lively, and utterly unique, Eat, Sleep, Innovate is the book you need to make innovation a natural and habitual act within your team or organization.
    Note: Online resource; Title from title page (viewed October 20, 2020) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Fatih Akici - Manager, Risk Analytics and Data Science at Populus Financial Group As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more prominent problem in today's world. The position of executives and data science leaders to this issue is generally reactive, in that, companies solely respond to the requirements coming from regulatory agencies. In this presentation, I am going to argue why the leaders should be proactive in identifying biases and how they will benefit from fixing them. I will demonstrate my point on an applied example.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Charles Alcorn – Head of Data Science at Roche Molecular Systems Oncology diagnostics and treatment is a rapidly changing field of medicine with new advancements announced almost daily. The number of diagnostic tests to select treatments based on a patient’s unique genetic mutations and tumor pathology characteristics has grown, as have the number of therapies available. These therapies can be matched to a patient’s likelihood to respond to treatment based on the results from diagnostic tests. Estimates indicate that Oncologists would have to read the literature continuously around the clock 365 days a year to maintain their knowledge of new diagnostic tests and treatments. Further, diagnostic testing and treatment as well as associated treatment guidelines vary by patient population and country. This talk will describe medical content management concepts for the field of Oncology including data architecture, data curation, adopting to differing-and-ever-changing treatment guidelines, capture of up-to-date regulatory information, and country-specific examples. The roadmap that we are developing to support Clinical Decision Support Software in a Global Marketplace for our products and services will be described.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 27
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Robert Welborn
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 28
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Jeff Sharpe – Manager / Master Software Engineer at Capital One Niraj Tank – Sr. Manager, Software Engineering at Capital One We have been working on operationalizing ML for past few years at CapitalOne Bank and would like to share our experiences and lessons we learned in building an ML platform, in our talk we plan to cover: — Self-Service for Data Scientists — Treat models, policies & features as content, not software, and allow live updates to content — Provide software engineering best practices to ML content(s) — How to meet enterprise need at scale — Lightweight services — Re-use models, data, and business logic wherever possible — Containerize software to simplify scaling — Multi-layer abstractions — Respond to real time events — Keep data in close proximity — Focus on low-latency communication and fast computations — Architect high-reliability services Some of the questions this session intend to answer: – Every FinTech enterprise needs to operationalize ML but most of them don’t know where to start, how to deliver and more importantly what not to do? – What architecture choices to explore and what tools to build to satisfy demanding needs of a thriving data science organization. – How can you build ways to include data scientists in the agile development process, leveraging their expertise in feature engineering while enabling them to take part in DevOps practices without needing full DevOps experience.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 29
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Sridharan Kamalakannan, Head of Data Science at Humana Predictive models are often used to identify individuals that will likely have escalating health severity in the future and accordingly deliver appropriate interventions. However, for the clinicians and care managers, these predictive models often act as a black-box at an individual level. The reason for this being, typically predictive models use combinations of complicated algorithms that makes it hard to explain the reason behind a predictive model score at an individual level. This talk will focus on model and feature agnostic methodologies and techniques that help uncover the drivers behind a prediction at a personal level in a healthcare setting.
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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  • 30
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Diane Yu, CTO and Cofounder at FreeWheel, Comcast As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data represented in the natural document format that is not machine-readable. Another requirement is validating and ensuring that the data is of high-quality since it is required for building models for predictions, classifications, and various analytics tasks. This talk will cover ways in which data science and machine learning can be used to address these two challenges: (1) ingesting your data by extracting what is contained in natural document format and (2) cleaning your ingested data.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 31
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital Healthcare data is highly connected but often lives in silos. Graph databases are promising emerging technologies for working with highly connected data. This talk will introduce data scientists to Neo4j—the leading graph database—and will discuss a proof of concept implementation at New York Presbyterian and will demonstrate some of the network analyses we were able to do as a result. This talk will be developer/data scientist focused and will include code snippets. We will introduce the graph data model and loading data into the database. We will discuss the pros and cons of graph databases. We will finish off with some practical examples from out proof of concept including community detection algorithms, using centrality to find providers who may be spreading infections, and examining physician referral patterns. Participants will leave being able to describe a graph database. They should be able to identify situations that may benefit from implementing a graph database. Finally, they should be able to create a simple graph model.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 32
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Sriram Subramanian - Head of Data Sciences at Condé Nast At Conde Nast, we have several AI/ML solutions spanning multiple business areas of the company: advertising, subscriptions, audience engagement and personalization. These solutions use different methodologies, software libraries and run in an automated manner. To manage all of this, we have developed our own purpose built AI infrastructure to support enterprise wide ML/AI applications. We will also cover a couple of applications that leverage this infrastructure and their business impact.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 33
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Anna Schneider, Data Science Manager at Stitch Fix Classic recommender systems are great for answering the question “what does a user want in general?”. However, they only get you partway to an answer to “what does a user want right now?”. To close the gap, it helps to capture and act on real-time user intent. I’ll share two examples of this paradigm, and the resulting changes to our algorithms and architectures at Stitch Fix.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 34
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Ali Vanderveld, Director of Data Science at ShopRunner ShopRunner is an e-commerce company that receives feeds of product data from over 100 different retailer partners, including large department stores and retailers that specialize in electronics, appliances, nutritional products, and more. In order to provide a great user experience on our website and in our mobile app, we need to have one easy-to-navigate product taxonomy. We also would like to have sets of attribute tags that make it easy to filter down to exactly what any shopper is looking for. In this talk I will describe how we are using computer vision and natural language processing to place all of the products from our retailer partners into one easy-to-navigate shopping experience.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 35
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469072067
    Language: English
    Pages: 1 online resource (64776 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Managers are significant actors in contemporary organizations and yet there is very little deep-level analysis of what managers do, and how they understand their managerial selves and social situations. Instead of evaluating management techniques according to their internal logic and systematic qualities, this book advances the "practice perspective," using behavior and activities of successful, experienced, and skilled managers as the primary data for theorizing good management. In this book, academics review classic literature on managerial work, discuss methodological and theoretical approaches, and present empirical studies on various kinds of managers at different levels of organizations, in different roles, and different sectors, from construction site managers and CEOs of large companies to university vice chancellors and front-line health care managers. It makes the case for studies of managerial work that look beyond the rational and ordered world to the challenges presented by, inter alia, work and information overload, complexity, performance pressures, unintended consequences, and irreconcilable expectations.
    Note: Online resource; Title from title page (viewed April 16, 2019) , Mode of access: World Wide Web.
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    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469071305
    Language: English
    Pages: 1 online resource (48730 pages)
    Edition: 1st edition
    DDC: 006.3
    Keywords: Computers ; Computers ; Audiobooks ; computers ; COMPUTERS / Intelligence (AI) & Semantics ; Computers ; Downloadable audio books ; Ordinateurs ; Audiobooks ; Livres audio
    Abstract: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence for Dummies provides a clear introduction to AI and how it's being used today. In this book, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. - Learn about what AI has contributed to society - Explore uses for AI in computer applications - Discover the limits of what AI can do - Find out about the history of AI The world of AI is fascinating-and this hands-on guide makes it more accessible than ever!
    Note: Online resource; Title from title page (viewed February 19, 2019) , Mode of access: World Wide Web.
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  • 37
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : HighBridge | Boston, MA : Safari
    ISBN: 9781684414673
    Language: English
    Pages: 1 online resource (48089 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: In a wide-ranging narrative that takes us from a downsized marketing executive in Massachusetts, to a father of three in Appalachia finding purpose and meaning working in a convenience store chain, to an unemployed autoworker retraining in "advanced manufacturing," Shell reveals how work is essential to our flourishing and pyschological well-being-and how so many of the avenues to well-paid and meaningful work will be challenged in the years ahead. The future of work is not being faced openly. We live in a world where the rewards of employment are concentrated in the hands of the few. Today, the top 10 percent of wage earners in the U.S. bring home 9 times the income of the other 90 percent, and the top .01 percent earn 184 times as much. The economic gap between the few and the many is so vast, Shell says, that we might as well be members of a different species. Moreover, since the 1970s, real wages for most of us have stagnated, and with it our purchasing power. Half of all Americans earn less than 30,000 dollars a year. And the paths to landing those good-paying jobs that secure our financial future are disappearing in the wake of automation and the rise of AI.
    Note: Online resource; Title from title page (viewed January 17, 2019) , Mode of access: World Wide Web.
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  • 38
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Namita Lokare Feature engineering plays a significant role in the success of a machine learning model. Most of the effort in training a model goes into data preparation and choosing the right representation. In this talk, I will focus on a robust feature engineering method, Randomized Union of Locally Linear Subspaces (RULLS). We generate sparse, non-negative, and rotation invariant features in an unsupervised fashion. RULLS aggregates features from a random union of subspaces by describing each point using globally chosen landmarks. These landmarks serve as anchor points for choosing subspaces. Our method provides a way to select features that are relevant in the neighborhood around these chosen landmarks. Distances from each data point to k closest landmarks are encoded in the feature matrix. The final feature representation is a union of features from all chosen subspaces. The effectiveness of our algorithm is shown on various real-world datasets for tasks such as clustering and classification of raw data and in the presence of noise. We compare our method with existing feature generation methods. Results show a high performance of our method on both classification and clustering tasks.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 39
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Douglas Hamilton – Chief Data Scientist, NASDAQ’s Machine Intelligence Lab Over the last decade, hundreds of billions of dollars of capital have retreated from active to passive management, driven in part by investors seeking lower management fees. With this we have seen rapid growth in the index and exchange traded fund space, leading to the development of several distinct classes. At least one of these classes, Smart Beta, is ripe for AI augmentation. We outline the unique challenges of index management and discuss the application of Information Theory, Machine Learning, and Optimization in solving those challenges.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 40
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Liang Wu, Machine Learning Data Scientist at Airbnb Choosing the correct optimization metric is key to success of a search engine. Unlike in traditional web searches, where clicks are clearly the main objective to optimize, many emerging vertical search engines like E-Commerce search may require a different optimization metric, such as conversions, revenue, and quality. Selection of a good metric may depend on the query type (transactional vs. navigational vs. informational) and also on the goal of a business (profitability vs. growth). For example, a typical product search engine may focus on maximizing the number of transactions and total revenue, while navigational search may aim at minimizing the total number of clicks. In this talk, we will investigate factors needed to be considered when we are in search for a good metric, and we will also walk through an example of designing an optimization metric for a particular business, including how it is selected, mathematically defined, and optimized with a machine learning framework.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 41
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Lauren Lombardo - Senior Data Scientist at Nielsen Products underpinned by traditional statistical methods, big data, and artificial intelligence increasingly provide new and unique insight into the rapidly growing media landscape. How can you make sure that your product will have the impact that you expect it to? What factors do you need to consider when developing a product to ensure that the tool is understood by the market and used appropriately? To what extent is this the concern of a data scientist? This talk will discuss how these questions apply to those hoping to deliver data-oriented insight to the media and entertainment industry.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 42
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Dalela Bharati – Product Owner, Data & Analytics at Booking.com Poor data quality (DQ) is crippling to any data scientist. Especially organisation wide complex DQ challenges for fundamental datasets that can take months to fix. This talk/ session outlines the product development approach we adopted to solving a DQ challenge at Booking.com
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 43
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Anna Coenen Algorithmic curating at the Times brings many unique challenges. We want our recommendations to feel personal and relevant, but not creepy. We want articles to be timely, yet also showcase older pieces that our readers still enjoy. We want to increase engagement, but without sacrificing editorial judgment. This talk describes how we achieved these goals through a combination of Machine Learning, experimentation, and diligent editorial curation.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 44
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Jason Dolatshahi – Director of Data Science at Stash Stash is the digital platform for saving & investing that promises financial inclusion for all. When we launched our checking account at the end of last year, we already had millions of customers, but we were about to make first contact with a formidable new foe: bank fraud. As a data science team, how do you develop and deploy a model when the dimensions of the problem are brand new and changing quickly? How do you ensure your stakeholders have the information they need to manage the liability risk to the business? How do you keep the user experience delightful while keeping out bad actors? Come find out!
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 45
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469075143
    Language: English
    Pages: 1 online resource (86503 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; Downloadable audio books ; BUSINESS & ECONOMICS ; Nonprofit Organizations & Charities ; General ; Audiobooks ; Livres audio
    Abstract: Achieving Excellence in Fundraising is the go-to reference for fundraising principles, concepts, and techniques. With comprehensive guidance toward the fundraising role, this book reflects the latest advances in fundraising knowledge. Coverage includes evolving technologies, the importance of high net worth donors, global fundraising perspectives, results analysis and performance evaluation, accountability, and credentialing, with contributions from noted experts in the field. You'll gain essential insight into the practice of fundraising and the fundraising cycle. With contributions from members of The Fund Raising School and the faculty of Indiana University's Lilly Family School of Philanthropy, this new edition includes detailed guidance on nonprofit accounting practices as defined by the Financial Accounting Standards Board and the American Institute of Certified Public Accountants, rounding out the complete, thorough coverage of the fundraising profession. Designed to provide both theory and practical knowledge, this book is an all-in-one resource for anyone who performs fundraising duties.
    Note: Online resource; Title from title page (viewed August 13, 2019) , Mode of access: World Wide Web.
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  • 46
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Darby Laffoon – Sr Manager, Big Data Platform Engineering at Charles Schwab In this session, we will walk through the various aspects of how to build and manage effective data science teams, and how to navigate the many challenges that come with such an undertaking. While there is no right or wrong, experience tells us that there are a multitude of ways to approach any challenge therein, and that’s where we will focus much of our energy.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 47
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Andy Terrel at Numfocus NumFOCUS currently represents 26 sponsored and 24 affiliated open scientific coding projects. Glancing at them from a distance, one might have to squint a bit to see a pattern emerge. In truth, the community doesn’t mind that at all, out of the variety comes innovation. Beyond the logos and stickers, what is this community actually doing? I present the various projects and argue that we have inadvertently created one of the most successful data science platforms in existence. From this vantage point, I pose some tough questions the community needs to answer: How can we present that platform more fully? How should we organize ourselves to make our work more valuable? How do we avoid a collapse of our communities?
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 48
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Manojit Nand – Senior Data Scientist at JPMorgan Chase & Co. Understanding how algorithms can reinforce societal biases has become an important topic in data science. Recent work for auditing models for fairness often requires access to potentially sensitive demographic information, placing algorithmic fairness in conflict with individual privacy. For example, gender recognition technology struggles to recognize the gender of transgender individuals. To develop more accurate models, we require information that could “out” these individuals, putting their social, psychological, and physical safety at risk. We will discuss social science perspectives on privacy and how these paradigms can be incorporated into statistical measures of anonymity. I will emphasize the importance of ensuring safety and privacy of all individuals represented in our data, even at the cost of model fairness.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 49
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Michelangelo D’Agostino, VP of Data Science & Engineering at ShopRunner Data scientists are hard to hire. But too often, companies struggle to find the right talent only to make avoidable mistakes that cause their best data scientists to leave. From organizational structure and leadership considerations to tooling and infrastructure to avoiding FOMO through continuing education, I’ll share concrete (and inexpensive) tips for keeping your data scientists engaged, productive, and performing their best for your business.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 50
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Ishant Nayer, Sr Data Scientist at Instacart Being a data-driven company, Instacart realizes the power of good quality data. While trying to maximize the efficiency of data consumption by all work streams such as recommendation systems and availability systems, we are trying to make our Catalog the best in the world by delivering precise information to all our end-users including shoppers and consumers. This session will cover the following areas: 1. How we used data science to auto-detect inconsistencies in the data attributes of millions of items comprising the Catalog, in real-time. 2. How we defined and utilized North Star metrics to optimize data quality of our Catalog 3. Different approaches being used to deliver a great customer experience.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by John Peach, Sr Data Scientist at Amazon Alexa Science is facing a crisis around reproducibility and data science is not immune. Literate Statistical Programming is a workflow that binds the code used in an analysis to the interpretation of the results. While this creates reproducibility it also addresses issues around, auditing, re-usability and allows for rapid iteration and experimentation. This talk will describe a workflow that I have successfully used on small-scale data-sets in start-ups and on Amazon-scale problems in my work on Alexa. The talk will cover the tooling, workflow, and the philosophy you need to master Literate Statistical Programming.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 52
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Surya Gupta – Postdoctoral Researcher at VIB-UGent Mass-spectrometry based proteomics experiments produces large amounts of data. While typically acquired to answer specific biological questions, these data can also be reused in orthogonal ways to reveal biological knowledge. We have developed a novel method for such orthogonal data reuse of public proteomics data to detect biologically associated protein pairs. Mass-spectrometry proteomics experiments were obtained and reprocessed from the PRIDE database. For the identified proteins, we calculated the co-occurrence score, using Jaccard similarity. Protein pairs with score of atleast 0.4 were mapped to five knowledgebases; Reactome, Ensembl, IntAct, BioGRID, and CORUM, to assign potential biological relevance. Of the 2325 protein pairs that pass the Jaccard similarity threshold, we 81% of protein pairs with biological annotation (68% with five knowledgebases and 13% with GO terms). While comparison with randomly selected protein pairs, less than 2% protein pairs were found to be annotated. Furthermore, to extend the usability and accessibility of the detected protein pairs for research community, an online database called Tabloid Proteome was established. Our approach shows that by re-using publically available data in a fully orthogonal way, effectively treating these data as a proteome-wide association study, we can extract various biologically meaningful patterns, which moreover, were quite complementary to associations detected by established protein-protein interaction techniques. Additionally, Tabloid Proteome features a simple yet powerful web interface that allows fast and easy access to all these protein associations, with their possible biological annotation.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 53
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Rhonda Textor, Head of Data Science at True Fit Recent advances in technology such as computer vision, deep learning, and recommender systems are being used to enable new shopping experiences. Examples include visual search, recommending similar items, and recommending items that other shoppers also viewed. However, technology alone without an understanding of shoppers, fashion, and retail falls short of solving shopping recommendation problems. We at True Fit believe that details matter, especially for modeling individual fashion preferences. Because of that, we have built the largest fashion and retail dataset called the Fashion Genome. In this talk, I will share some insights we have gained from the Fashion Genome that have influenced our approach to building fashion recommendation systems. I will also show how we leverage the fashion details of products, i.e., our Fashion Attributes, to combine fashion and technology to make great recommendations. Finally, I will share how we leverage our large dataset and cutting edge technology to enable personalized shopping experiences.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Sylvia Tran, Data Scientist at Gracenote User preferences and content similarity are both key to recommendation systems. While content similarity has been widely explored and utilized by many companies in the media & entertainment industries, it still remains relevant as the amount of data and metadata available continues to grow and change. This talk discusses some of the challenges of content similarity and explores a few different attribute groups (aside from genre and cast) by which content similarity can be measured. Traditional attributes, like genre and cast alone, may not be as additive as they once were. More specifically, movies like Ted (starring Mark Wahlberg) and Shaun of the Dead do not neatly fit into a single genre. This talk also demonstrates how certain tried and true similarity metrics still yield meaningful and reasonably interpretable results for media & entertainment.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Diane Leung, Principal, Analytics Innovation at Altman Vilandrie & Company Measuring and optimizing tune-in is critically important for the media and entertainment industries. This discussion focuses on best practices for utilizing data and machine learning to optimize tune-in on national linear inventory. In order to do this properly, advertisers need to unify their marketing ecosystem, design a holistic measurement approach, and break down barriers for closed-loop, incremental measurement. In this session you will learn how to: 1) Create a framework for utilizing data and machine learning to maximize tune-in and 2) Overcome analytical obstacles created from fragmented and incomplete data.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Sangeeta Krishnan – Former Director, Enterprise Data Management & Strategy at Asembia Artificial Intelligence (AI) is the current buzz word across all industries. Marvin Minsky’s definition of AI describes it as the science of making machines do things that would normally require human intelligence. However, the opinions are split across two camps. On one side we hear about new AI gadgets getting introduced in the market that would empower and improve our lives. At the same time, there are stories of AI companies going bankrupt like the recent closure of AI powered clock – Bonjour. Any digital technology has its own risks such as Cyber Security, Data Privacy Protection, apart from protecting the interests and careers of the human workforce. When you attempt to transform data into answers, many questions erupt. AI is a combination of techniques that includes Data Analytics and Predictive Analytics. Many organizations start their Analytics and AI journey without implementing the discovery phase of defining clear achievable business values. This results in most of the R&D budget to evaporate in experimental pitfalls with no real gain, resulting in AI being non-productive. It is imperative for any organization to discuss and focus on certain fundamental areas and challenges before embarking on the AI journey. This presentation would give a detailed overview of the areas that need to be addressed for the AI journey to be successful beyond PoC (Proof of Concept). It would demystify AI from an implementation stand point and would cover multiple aspects to demonstrate the current capabilities of AI technologies. It would also put out a road map for the industries to have a smooth journey to the AI world. The presentation would discuss the entire spread of activities such as budgeting, risk mitigation, training and many more.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Kabir Seth - VP Machine Learning & AI Strategy, Wall Street Journal & Alex Siegman - AI Technical Program Manager, Dow Jones Walking through the steps necessary to appropriately leverage AI in a large organization, including tips and tricks for identifying business opportunities that lend themselves to AI, as well as best practices for each step of the AI project management process, all while navigating complex organizational structures.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Anupama Joshi Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platform that allows model management and deployment easily and reliably is becoming a necessity for organizations to accelerate product development. In this talk, I will talk about the challenges faced and the solutions used to make this process easy.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469099699
    Language: English
    Pages: 1 online resource (28669 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Is there a scientific formula you can follow to change your life? Change is hard. But not if you know the 5-step formula that works whether you're trying to stop smoking or start recycling. Dr. John C. Norcross, an internationally recognized expert, has studied how people make transformative, permanent changes in their lives. Over the past thirty years, he and his research team have helped thousands of people overcome dozens of behavioral ailments. Now his cutting-edge, scientific approach to personal improvement is being made available in this indispensable guide. Unlike ninety-five percent of self-help books, the Changeology plan has a documented track record of success. Whether you want to quit overeating or drinking, or end depression, debt, and relationship distress, Dr. Norcross gives you the tools you need to change what you want within ninety days. Changeology shows you: how to define your goals and get started in a new direction; how to pump up your motivation and prepare for self-change; how to prevent relapses into old patterns; how to master the skills that will help you sustain change; and how to personalize your journey with Check Yourself assessments and an interactive website, ChangeologyBook.com.
    Note: Online resource; Title from title page (viewed January 30, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Tantor Media, Inc. | Boston, MA : Safari
    ISBN: 9781618036643
    Language: English
    Pages: 1 online resource (48841 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Guide your sales force to its fullest potential With a proven sales management and execution process, Sales Management For Dummies aids organizations and individuals in reaching the highest levels of success. Although selling products or services is a central part of any sales job, there's much more to it. With this fun and accessible guide, you'll go beyond the basics of sales to learn how to anticipate clients' needs, develop psychologist-like insight, and so much more. Because few people go to school to earn degrees in selling, sales talent is developed in the field. Unfortunately, most training efforts fail to reach their objectives, in large part because of the absence of any kind of reinforcement or coaching. This book is your one-stop guide to managing an existing or start-up sales force to succeed in every area of sales-from prospecting to closing. If you're one of the millions of salespeople or sales managers worldwide looking for a fast, easy, and effective way to get the most out of your sales force, the tried-and-true guidance presented in this book sets you up for success.
    Note: Online resource; Title from title page (viewed September 24, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Tantor Media, Inc. | Boston, MA : Safari
    ISBN: 9781515936787
    Language: English
    Pages: 1 online resource (46499 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Product management plays a pivotal role in organizations. In fact, it's now considered the fourth most important title in corporate America-yet only a tiny fraction of product managers have been trained for this vital position. If you're one of the hundreds of thousands of people who hold this essential job-or simply aspire to break into a new role-Product Management For Dummies gives you the tools to increase your skill level and manage products like a pro. From defining what product management is-and isn't-to exploring the rising importance of product management in the corporate world, this friendly and accessible guide quickly gets you up to speed on everything it takes to thrive in this growing field. It offers plain-English explanations of the product life cycle, market research, competitive analysis, market and pricing strategy, product roadmaps, the people skills it takes to effectively influence and negotiate, and so much more. ● Create a winning strategy for your product ● Gather and analyze customer and market feedback to maximize revenue ● Prioritize and convey requirements to engineering teams effectively Product managers are responsible for so much more than meets the eye-and this friendly, authoritative guide lifts the curtain on what it takes to succeed.
    Note: Online resource; Title from title page (viewed June 28, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Ayan Bhattacharya - Advanced Analytics Specialist Leader, Deloitte Consulting Conversational AI is the application of a combination of AI and cognitive services including Natural Language Processing, Speech Recognition and Intent Classification. It is focused on bringing voice, chat, and personal assistant technologies to intelligently automate human and technology interactions and improve client’s business outcomes as well as engagement with customers. There are varying levels of complexity in the virtual agents or chatbots; some are designed for answering common questions while others have a more complex architecture which includes the ability to disambiguate complex dialog and integrate with machine learning algorithms. The current marketplace for Conversational AI is being driven by cloud enabled platforms such as AWS, GCP, Azure and Watson; and there are over 2000 companies that have started developing their own niche industry solutions.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Julie Hollek, Sr Data Scientist at Twitter Data scientists are the people behind the scenes, helping others deliver better, smarter results in their daily work. This is especially true for product data scientists who must hone their craft to determine what things are working for a given product, where do we want to take it next, and how can we make product decisions aligned with company is trying to build? Cross-functional communications are critical to success in this role; you need to be able to craft a message that is born out of math to make compelling arguments that are digestible by stakeholders across the business. In this session, we’ll define Product Data Science and discuss contributing factors to success.
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Hemalatha B Raju – Lead Data Scientist at Biorasi Running a clinical trial is always very complex. But with the implementation of machine learning we can significantly improve the efficiency of clinical trial development. Machine learning logic and algorithms can help us advance the patient selection process for clinical trials, improve the data quality, reduce the time and cost in the execution of clinical trials. for accurate predictions of outcomes using pattern recognition. Machine learning algorithms could be potentially applied to develop comprehensive risk-based monitoring tools, fraud detection pipeline, on-study analytics models and solutions for various clinical trials that alerts the clinical monitors and the pharmaceutical companies about the quality of clinical sites . Clinical data can also be reviewed at aggregate level regularly throughout assigned studies using analytical reporting tools to support the identification of risks and data trends. The rules-based logic could be used throughout the clinical trial studies to analyze the primary and secondary endpoints, required for the safety and efficacy analysis of the investigational drug and thus improve the efficiency of clinical trial studies.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Jasmine Ngo, Mgr, Analytics & Marketing Science at Deutsch Sometimes, conversations on social media don’t reflect the mass’ sentiments accurately (think about people who rarely use Twitter or have a public profile on Facebook). That’s when local news come into play – local articles can sometimes reflect sentiments on certain topics by specific areas. By scraping thousands of articles online and using NLP / other methodologies to analyze them, we can get interesting insights on different topic. This talk introduces a tool to do that.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Anusua Trivedi, Sr Data Scientist Lead, AI for Good at Microsoft AI serves the purpose of enabling human beings in making better decisions. In this session, we talk about how the actions of AI are the result of the human inputs going into its programming. We talk about how an AI’s bias is not its own, but the human bias with which it has been programmed. We emphasize the choice of the right metric and the type of data used for testing and training to avoid such bias. We discuss the need to understand the dependence between the data used and the models employed and optimize only areas that matter. We discuss how to focus on feature engineering and be thoughtful about the ethics of ML applications. Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Jennifer Esteche, Machine Learning Research Engineer at Tryolabs Determining prices for retail products manually is an extremely time-consuming process and leads to neither cost-effective nor consistent pricing. In this talk, we will introduce you to the tremendous potential of machine learning for automated pricing. We will share our learnings from building a machine learning system able to determine prices based on product metadata and images, implemented by a large online consignment marketplace. As a result, the company prices more than half of the products in their catalog automatically. You will learn what kind of data is valuable for an automated pricing system, what machine learning models can be used, some major challenges in building an intelligent pricing system and how to overcome them. Further, we will explore opportunities on how retailers can use machine learning for optimizing their prices for revenue.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Leondra James, Mgr, Analytics & Operations at Saatchi & Saatchi Saatchi & Saatchi is global, full service advertising agency / creative communications network. Learn about the interesting questions they’re asking and how they’re leveraging data to answer them. Entails broad overview of predicting advertising initiative resources and their respective allocations.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Brittany Rockwell Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the improvements of computational power, data storage and algorithmic efficiency, we have more data and modelling capacity at our disposal than ever before. A natural consequence of these changes is the exponential growth of available data. There is a growing need for automating the data exploration and identification process for low-latency downstream applications requiring timely forecasting or decision making. This talk will discuss some of the new advances in NLP and their relevance to text-driven trading.
    Note: Online resource; Title from title screen (viewed March 24, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Tantor Media, Inc. | Boston, MA : Safari
    ISBN: 9781977305008
    Language: English
    Pages: 1 online resource (37936 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Employers are increasingly recruiting their workers into politics to change elections and public policy-sometimes in coercive ways. Using a diverse array of evidence, including national surveys of workers and employers, as well as in-depth interviews with top corporate managers, Alexander Hertel-Fernandez's Politics at Work explains why mobilization of workers has become an appealing corporate political strategy in recent decades. The book also assesses the effect of employer mobilization on the political process more broadly, including its consequences for electoral contests, policy debates, and political representation. Hertel-Fernandez shows that while employer political recruitment has some benefits for American democracy, it also has troubling implications for our democratic system. Workers face considerable pressure to respond to their managers' political requests because of the economic power employers possess over workers. In spite of these worrisome patterns, Hertel-Fernandez found that corporate managers view the mobilization of their own workers as an important strategy for influencing politics. As he shows, companies consider mobilization of their workers to be even more effective at changing public policy than making campaign contributions or buying electoral ads.
    Note: Online resource; Title from title page (viewed July 31, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : HighBridge | Boston, MA : Safari
    ISBN: 9781684413614
    Language: English
    Pages: 1 online resource (23016 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Getting your employees to do their best work has never been easy. But it is a particular challenge for knowledge workers, who must attend to many different tasks and whose to-do list is often ambiguous, requiring outside-the-box thinking. Lists of dos and don'ts are rarely effective. Instead, your best bet is to align their interests with your own-the heart of motivation-and set them free to use their own drive and creativity on their, and your, behalf. But how do you align their interests with your own? How do you avoid incentive schemes that warp priorities, encourage perfunctory and sloppy work, or cause unethical behavior? In The Motivation Toolkit, economist and management expert David Kreps offers a variety of tools, drawn from the disciplines of economics and social psychology, that you can adapt to your specific situation to achieve better motivation. This starts with understanding both the economic and social relationship your employees have with their work, their jobs, and your organization, then using that understanding to find economic or psychological motivators that will work.
    Note: Online resource; Title from title page (viewed May 15, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469096773
    Language: English
    Pages: 1 online resource (21074 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.
    Note: Online resource; Title from title page (viewed April 13, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469098791
    Language: English
    Pages: 1 online resource (15329 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Smart businesses today understand the need to use stories to better connect with the people they care about. But few know how to do it well. In The Storytelling Edge, the strategy minds behind Contently, the world renowned content marketing technology company, reveal their secrets that have helped award-winning brands to build relationships with millions of advocates and customers. Join as they dive into the neuroscience of storytelling, the elements of powerful stories, and methodologies to grow businesses through engaging and accountable content. With The Storytelling Edge you will discover how leaders and workers can craft the powerful stories that not only build brands and engage customers, but also build relationships and make people care-in work and in life.
    Note: Online resource; Title from title page (viewed May 30, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469098050
    Language: English
    Pages: 1 online resource (27662 pages)
    Edition: 1st edition
    DDC: 658.4/78
    Keywords: Computer networks Security measures ; Computer security ; Computer Security ; Audiobooks ; Sécurité informatique ; BUSINESS & ECONOMICS ; General ; Computer networks ; Security measures ; Computer security ; Downloadable audio books ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Audiobooks ; Livres audio
    Abstract: Fascinating and highly readable, Digital Resilience opens with the infamous 2013 Target attack, which compromised the credit card information of 40 million customers. In hindsight, the hack (like most today) was preventable. This book helps businesses: - Understand the threats they face - Assess the resilience of their networks against attacks - Identify and address weaknesses - Respond to exploits swiftly and effectively Data theft. Downed servers. Malware. Even human error can trigger cyber events anytime from anywhere around the globe. This powerful guide provides the resilience-building strategies you need to prevail-no matter what strikes.
    Note: Online resource; Title from title page (viewed April 18, 2018) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781501972324
    Language: English
    Pages: 1 online resource (33502 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Two-thirds of executives say their organizations don't have the capabilities to support their strategy. In Strategy That Works, Paul Leinwand and Cesare Mainardi explain why. They identify conventional business practices that unintentionally create a gap between strategy and execution. And they show how some of the best companies in the world consistently leap ahead of their competitors.
    Note: Online resource; Title from title page (viewed July 21, 2017) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781501978029
    Language: English
    Pages: 1 online resource (29271 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Game-changing disruptions will likely unfold on your watch. Be ready. In Dual Transformation, Scott Anthony, Clark Gilbert, and Mark Johnson propose a practical and sustainable approach to one of the greatest challenges facing leaders today: transforming your business in the face of imminent disruption. Dual Transformation shows you how your company can come out of a market shift stronger and more profitable, because the threat of disruption is also the greatest opportunity a leadership team will ever face. Disruptive change opens a window of opportunity to create massive new markets. It is the moment when a market also-ran can become a market leader. It is the moment when business legacies are created. That moment starts with the core dual transformation framework: - Transformation A: Repositioning today's business to maximize its resilience, such as how Adobe boldly shifted from selling packaged software to providing software as a service. - Transformation B: Creating a new growth engine, such as how Amazon became the world's largest provider of cloud computing services. - Capabilities link: Fighting unfairly by taking advantage of difficult-to-replicate assets without succumbing to the "sucking sound of the core." Anthony, Gilbert, and Johnson also address the characteristics leaders must embrace: courage, clarity, curiosity, and conviction. Without them, dual transformation efforts can founder. Building on lessons from diverse companies, such as Adobe, Manila Water, and Netflix, and a case study from Gilbert's firsthand experience transforming his own media and publishing company, Dual Transformation will guide executives through the journey of creating the next version of themselves, allowing them to own the future rather than be disrupted by it.
    Note: Online resource; Title from title page (viewed November 3, 2017) , Mode of access: World Wide Web.
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  • 77
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781501946097
    Language: English
    Pages: 1 online resource (16612 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Based on the award-winning article in Harvard Business Review, from global leadership expert John Kotter. It's a familiar scene in organizations today: a new competitive threat or a big opportunity emerges. You quickly create a strategic initiative in response and appoint your best people to make change happen. And it does-but not fast enough. Or effectively enough. Real value gets lost and, ultimately, things drift back to the default status. Why is this scenario so frequently repeated in industries and organizations across the world? In the groundbreaking new book Accelerate (XLR8), leadership and change management expert, and best-selling author, John Kotter provides a fascinating answer-and a powerful new framework for competing and winning in a world of constant turbulence and disruption. Kotter explains how traditional organizational hierarchies evolved to meet the daily demands of running an enterprise. For most companies, the hierarchy is the singular operating system at the heart of the firm. But the reality is, this system simply is not built for an environment where change has become the norm. Kotter advocates a new system-a second, more agile, network-like structure that operates in concert with the hierarchy to create what he calls a "dual operating system"-one that allows companies to capitalize on rapid-fire strategic challenges and still make their numbers. Accelerate (XLR8) vividly illustrates the five core principles underlying the new network system, the eight Accelerators that drive it, and how leaders must create urgency in others through role modeling. And perhaps most crucial, the book reveals how the best companies focus and align their people's energy and urgency around what Kotter calls the big opportunity. If you're a pioneer, a leader who knows that bold change is necessary to survive and thrive in an ever-changing world, this book will help you accelerate into a better, more profitable future.
    Note: Online resource; Title from title page (viewed March 17, 2017) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781501972331
    Language: English
    Pages: 1 online resource (24986 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Are you missing opportunities for growth that are right in front of you? In today's volatile economic environment, filled with uncertainty and sudden change, the forces pushing you to stay focused on the core business are extremely powerful. Profiting from the core is crucial, but the danger is that overfocus on the core can blind companies. Scanning the horizon for new markets and new products can also be tempting, but risky. Fixating too much on either strategy can cause you to miss the substantial opportunities for growth that are often hidden in plain sight, at the edge of the core business. In this insightful yet practical book, strategy experts Alan Lewis and Dan McKone articulate a mindset that helps leaders recognize and capitalize on these opportunities. The Edge Strategy framework challenges how the boundaries of your existing products and services map to your customers' views of the world and then provides three different lenses through which you can see and leverage value: - Product edge. How to capture incremental profits and other benefits by slightly altering the elements and composition of a core offering - Journey edge. How to create and capture extra value by adjusting your role in supporting the customer's journey to and through your offering - Enterprise edge. How to unlock additional value from resources and capabilities that support your core offering by applying them in a different context, for a different offering or different set of customers With engaging examples across many industries, Lewis and McKone coach you on how to identify and assess each of the different "edges" and then provide concrete insights and advice on applying edge strategy and tactics to use in specific business contexts. The book concludes with a ten-step process to help executives and managers find and leverage the edges in their own companies. Edge Strategy is the concise, hands-on guide for growing your business by getting more yield from assets already in place, relationships already established, and investments already made.
    Note: Online resource; Title from title page (viewed July 28, 2017) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781501931505
    Language: English
    Pages: 1 online resource (39390 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: In The Distracted Mind leading psychologist Larry Rosen, and pioneering neuroscientist Adam Gazzaley, explain why our minds have become addicted to email, text messages, virtual worlds and social media such as Facebook and Twitter. Through compelling true stories and scientific research, they show how digital distractions affect every aspect of life - from work, safety and communication to our relationships and health. The way our brains work mean we're all too easily hijacked by 'weapons of mass distraction', but there are countermeasures we can take. Rosen and Gazzaley offer proven strategies for regaining and retaining control over where we choose to focus our attention, making The Distracted Mind essential reading for anyone who wants to make best use of their brain today.
    Note: Online resource; Title from title page (viewed October 14, 2016) , Mode of access: World Wide Web.
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  • 80
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    [Erscheinungsort nicht ermittelbar] : Recorded Books | Boston, MA : Safari
    ISBN: 9781490618975
    Language: English
    Pages: 1 online resource (32934 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: It used to take years or even decades for disruptive innovations to dethrone dominant products and services. But now any business can be devastated virtually overnight by something better and cheaper. How can executives protect themselves and harness the power of Big Bang Disruption? Just a few years ago, drivers happily spent more than $200 for a GPS unit. But as smartphones exploded in popularity, free navigation apps exceeded the performance of stand-alone devices. Eighteen months after the debut of the navigation apps, leading GPS manufacturers had lost 85 percent of their market value. Consumer electronics and computer makers have long struggled in a world of exponential technology improvements and short product life spans. But until recently, hotels, taxi services, doctors, and energy companies had little to fear from the information revolution. Those days are gone forever. Software-based products are replacing physical goods. And every service provider must compete with cloud-based tools that offer customers a better way to interact. Today, start-ups with minimal experience and no capital can unravel your strategy before you even begin to grasp what's happening. Never mind the "innovator's dilemma"-this is the innovator's disaster. And it's happening in nearly every industry. Worse, Big Bang Disruptors may not even see you as competition. They don't share your approach to customer service, and they're not sizing up your product line to offer better prices. You may simply be collateral damage in their efforts to win completely different markets. The good news is that any business can master the strategy of the start-ups. Larry Downes and Paul Nunes analyze the origins, economics, and anatomy of Big Bang Disruption. They identify four key stages of the new innovation life cycle, helping you spot potential disruptors in time. And they offer twelve rules for defending your markets, launching disruptors of your own, and getting out while there's still time. Based on extensive research by the Accenture Institute for High Performance and in-depth interviews with entrepreneurs, investors, and executives from more than thirty industries, Big Bang Disruption will arm you with strategies and insights to thrive in this brave new world.
    Note: Online resource; Title from title page (viewed February 7, 2014) , Mode of access: World Wide Web.
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