Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    AI and machine learning for coders : a programmer's guide to artificial intelligence (2023)
    [Place of publication not identified] : Ascent Audio
    Details
    ISBN: 9781663721372 , 1663721378
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 17 min.))
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Artificial intelligence ; Audiobooks
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 31, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Sztuczna inteligencja i uczenie maszynowe dla programistów : praktyczny przewodnik po sztucznej inteligencji (2021)
    Gliwice : Helion
    Details
    ISBN: 9788328378513 , 8328378515
    Language: Polish
    Pages: 1 online resource (352 pages) , illustrations
    Edition: [First edition].
    Uniform Title: AI and machine learning for coders
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence
    Abstract: Sztuczna inteligencja i uczenie maszynowe znajdują coraz więcej zastosowań w niemal wszystkich istotnych branżach. W technologiach sieci neuronowych tkwi olbrzymi potencjał. Za rozwojem uczenia maszynowego muszą nadążać architekci i programiści: aplikacja, w której wykorzystano technologie sztucznej inteligencji, musi pasować do określonego zastosowania. Poszczególne systemy różnią się od siebie, tak samo jak różne są rozwiązywane przez nie problemy. Sztuczna inteligencja ujawni swoje ogromne możliwości tylko, jeśli inżynierowie dostosują swoje aplikacje do rozwiązywania konkretnych problemów. Ta książka jest praktycznym podręcznikiem opartym na sprawdzonej metodyce: nauce poprzez pisanie kodu w Pythonie. Aby w pełni z niego skorzystać, nie musisz znać wyższej matematyki. Dzięki praktycznym lekcjom szybko zaczniesz programowo tworzyć konkretne rozwiązania. Dowiesz się, jak można zaimplementować najważniejsze algorytmy uczenia maszynowego, korzystając ze znakomitej biblioteki TensorFlow. Nauczysz się też, w jaki sposób wdrażać modele uczenia maszynowego i tworzyć przydatne aplikacje, które będą działały w różnych środowiskach i na różnych platformach: przykładowo napiszesz aplikację w języku Kotlin w środowisku Android Studio czy też w języku Swift w środowisku Xcode.
    Note: Includes index
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    iPhone and iPad apps for absolute beginners (2013)
    [New York, N.Y.] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 4th ed.
    Keywords: Application software ; Development ; iPhone (Smartphone) ; iPad (Computer) ; Electronic books ; Electronic books ; local
    Abstract: This update of an Apress bestseller walks you through creating your first app, with plain English and practical examples using the latest iOS 7 software development platform and more. It cuts through the fog of jargon and misinformation that surrounds iPhone and iPad app development, and gives you simple, step-by-step instructions to get you started. Teaches iPhone and iPad apps development in language anyone can understand Provides simple, step-by-step examples that make learning easy, using iOS 7 Offers bonus videos from the author that enable you to follow along-it's like your own private classroom The iPhone is the hottest gadget of our generation, and much of its success has been fueled by the App Store, Apple's online marketplace for iPhone apps. Over 1 billion apps were downloaded during the nine months following the launch of the App Store, ranging from the simplest games to the most complex business apps. Everyone has an idea for the next best-selling iPhone app-that's why you're reading this now! And with the popularity of the iPad, this demand will just continue to grow. What you'll learn Get both yourself and your computer set up for iPhone and iPad application development Start by making small changes to existing applications to build your knowledge and experience before creating your own applications Follow steps in plain English to build simple apps and get them working immediately Style your application so that it looks good and users can easily navigate through it Use shortcuts and cheat sheets to create apps the easy way Who this book is for If you have a great idea for an iPhone or iPad app, but have never programmed before, then this is the book for you. You don't need any previous computer programming skills-as long as you have a desire to learn, and you know which end of the mouse is which, you'll be fine.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed Jan. 16, 2014)
    URL: https://learning.oreilly.com/library/view/-/9781430263616/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    The definitive guide to Firebase : build Android apps on Google's mobile platform (2017)
    [California] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Android (Electronic resource) ; Application software ; Development ; Mobile apps ; Electronic books ; Electronic books ; local
    Abstract: Plan how to build a better app, grow it into a business, and earn money from your hard work using Firebase. In this book, Laurence Moroney , Staff Developer Advocate at Google, takes you through each of the 15 Firebase technologies, showing you how to use them with concrete examples. You'll see how to build cross-platform apps with the three pillars of the Firebase platform: technologies to help you develop apps with a real-time database, remote configuration, cloud messaging, and more; grow your apps with user sharing, search integration, analytics, and more; and earn from your apps with in-app advertising. After reading The Definitive Guide to Firebase , you'll come away empowered to make the most of this technology that helps you build better cross-platform mobile apps using either native Android or JavaScript-based web apps and effectively deploy them in a cloud environment. What You'll Learn Use the real-time database for a codeless middleware that gives online and offline data for syncing across your users' devices Master Firebase Cloud Messaging, a technology that delivers to connected devices in less than 500ms Grow your app organically with technologies such App Indexing, App Invites, and Dynamic Links Understand problems when they arise with crash reporting Fix user problems without direct access to users' devices Tie it all together with analytics that give you great intelligence about how users interact with your app Who This Book Is For Experienced Android, mobile app developers new to Firebase. This book is also for experienced web developers looking to build and deploy web apps for smartphones and tablets, too, who may be new or less experienced with mobile programming.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed April 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781484229439/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    AI and Machine Learning for Coders (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Meet the Expert : Laurence Moroney on A Programmer’s Guide to Artificial Intelligence (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: If you know code but don’t necessarily know artificial intelligence, this talk is for you. Join expert Laurence Moroney for a “code first” conversation on machine learning and get started on your AI journey, using the skills you already have as a developer. In just one hour, you’ll get an introduction to the “new” paradigm of machine learning and discover how models can be an alternative to writing if/then rules and other code for some logic scenarios. You’ll leave with a better understanding of TensorFlow concepts such as eager mode, training loops, optimizers, and loss functions. Recorded on February 3, 2020. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Strata Data & AI Superstream Series : Natural Language Processing (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by Intel Machines that can converse with humans are no longer science fiction; they’re here, and they’re in production. Get up to speed on what’s possible today—systems that understand human language, answer questions, summarize large bodies of documents, and use that information to solve problems. What you'll learn-and how you can apply it Explore the concept of sociolinguistic variation and see how it affects machine learning models Discover evaluation techniques for trained models to ensure your system is working for everybody Learn how to build language-powered apps fast using pretrained open source and cloud natural language models Understand how to run inference NLP models and applications at scale using the Intel Distribution of OpenVINO toolkit This Superstream is for you because... You want to explore the latest in natural language processing (NLP) tools and techniques You want to learn how to use TensorFlow to build AI applications that can understand and create text You care about fairness and want to understand what that means for your NLP projects in practical terms You want to learn how to create language-powered apps without having to build a model from scratch Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed October 29, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    AI and Machine Learning On-Device Development (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (124 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. Explore the options for implementing ML and AI on mobile devices--and when to use each Create ML models for iOS and Android Write ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOS Understand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and more Learn privacy and ethics best practices for ML on devices
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    AI and machine learning for on-device development : a programmer's guide (2022)
    [Place of publication not identified] : Ascent Audio
    Details
    ISBN: 9781663720979 , 1663720975
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 17 min.))
    Edition: [First edition].
    DDC: 006.31
    Keywords: Application software Development ; Machine learning ; Mobile computing ; Audiobooks ; Handbooks and manuals
    Abstract: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. - Explore the options for implementing ML and AI on mobile devices - Create ML models for iOS and Android - Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS - Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs - Learn privacy and ethics best practices for ML on devices.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 13, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Ugokashite manabu AI, kikai gakushū no kiso : TensorFlow ni yoru konpyūta bijon, shizen gengo shori, jikeiretsu dēta no yosoku to depuroi (2022)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 動かして学ぶAI・機械学習の基礎 : : TensorFlowによるコンピュータビジョン, 自然言語処理, 時系列データの予測とデプロイ /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119809 , 4873119804
    Language: Japanese
    Pages: 1 online resource (384 pages)
    Edition: Shohan.
    Uniform Title: AI and machine learning for coders
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence
    Note: In Japanese.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...