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  • 2020-2024  (627)
  • 1995-1999
  • 1985-1989
  • Media, IRB.  (329)
  • Gift, Noah  (298)
Datasource
Material
Language
Years
Year
  • 1
    ISBN: 9798350070279
    Language: English
    Pages: 1 online resource (19 pages)
    DDC: 302.23109199999999
    Keywords: Pendleton, Madeline ; Internet personalities--United States--Biography
    Note: Description based on publisher supplied metadata and other sources
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  • 2
    ISBN: 9798350067491
    Language: English
    Pages: 1 online resource (12 pages)
    DDC: 305.896073
    Keywords: African Americans--Conduct of life ; Attachment behavior
    Note: Description based on publisher supplied metadata and other sources
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  • 3
    ISBN: 9798350069556
    Language: English
    Pages: 1 online resource (15 pages)
    DDC: 392.5
    Keywords: Marriages of royalty and nobility
    Note: Description based on publisher supplied metadata and other sources
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  • 4
    ISBN: 9798350069631
    Language: English
    Pages: 1 online resource (19 pages)
    DDC: 306.76620000000003
    Keywords: Adult child abuse victims--Biography ; Adult children of drug addicts--Biography
    Note: Description based on publisher supplied metadata and other sources
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  • 5
    ISBN: 9798350068672
    Language: English
    Pages: 1 online resource (21 pages)
    DDC: 307.12160972999999
    Keywords: City planning--United States ; Urban policy--United States
    Note: Description based on publisher supplied metadata and other sources
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Responsible Generative AI and Local LLMs Learning Generative AI During Live Coding This video series covers mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax. Lessons covered include: Profit Sharing Concepts Tragedy of the Commons Game Theory and Generative AI Perfect Competition Negative Externalities Fine-tuning Mistral with Ludwig Getting Started with llamafile Hello World in Candle Exploring Rust and Candle Transcribing Audio with Whisper Rust for LLMs Learning Objectives Learn about responsible and ethical uses of generative AI Getting hands-on with local LLMs like Mistral, llamafile, Candle, and Lorax Learning to build solutions by coding along during tutorials Learning the key syntax and features of the Rust Language Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 7
    ISBN: 9798350084344
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st ed.
    DDC: 304.820972
    Keywords: Central America--Emigration and immigration
    Note: Description based on publisher supplied metadata and other sources
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  • 8
    ISBN: 9798350084689
    Language: English
    Pages: 1 online resource (22 pages)
    Edition: 1st ed.
    DDC: 305.6970973
    Keywords: Muslims--United States ; Special operations (Military science)
    Note: Description based on publisher supplied metadata and other sources
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  • 9
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330019489
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st ed.
    DDC: 304.8209725
    Keywords: Identity (Philosophical concept) ; Christian fiction
    Note: Description based on publisher supplied metadata and other sources
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  • 10
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330019144
    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st ed.
    DDC: 306
    Keywords: Social history--21st century ; Presidents--United States--Election--2020
    Note: Description based on publisher supplied metadata and other sources
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  • 11
    ISBN: 9798330019267
    Language: English
    Pages: 1 online resource (14 pages)
    Edition: 1st ed.
    DDC: 306.44221
    Keywords: English language--Social aspects ; Interpersonal communication in children ; Social interaction in children ; Verbal ability in children
    Note: Description based on publisher supplied metadata and other sources
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Amazon Web Services (Firm) ; Artificial intelligence Computer programs ; Application software ; Artificial intelligence ; Intelligence artificielle ; Logiciels ; Logiciels d'application ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: GenAI and LLMs on AWS Learn to build machine learning pipelines leveraging large language models on AWS for natural language processing and generative AI. In this hands-on course, you will gain skills to: * Set up cloud-based Rust development environments * Construct serverless workflows with AWS Lambda and Step Functions * Generate text and code with models like Claude and CodeWhisperer * Orchestrate models and data workflows with Amazon Bedrock * By completing real-world coding projects, you will be prepared to operationalize LLMs for machine learning applications. Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 5, 2024)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Architecture logicielle ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Interactive Technical Projects A weekly updated series of tutorials on interactive technical projects Learning Objectives Learn practical skills by building real-world projects with cutting-edge technologies Learning to build full stack solutions with languages like Rust, Python, LLMs and Data Science Learning the key tools and techniques used by industry experts to create robust applications Get hands-on practice applying your core technical knowledge Understand how all the pieces fit together by building projects end-to-end Troubleshoot bugs and solve complex problems that appear in production systems Expand your portfolio and r©♭sum©♭ with impressive projects Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/85
    Keywords: SQL (Computer program language) ; SQL (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: MySQL for Data Engineering Learning Linux Hacker Style Coding Description: Extract MySQL data through queries and bash pipelines Dump query results to CSV files. Build web services to serve data with Python standard library Analyze and process extracts with Linux utilities Chain MySQL, Python, and Linux together for quick data tasks Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 8, 2024)
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  • 15
    ISBN: 9798350069853
    Language: English
    Pages: 1 online resource (34 pages)
    DDC: 329
    Keywords: Women in politics ; Rosenberg, Anna
    Note: Description based on publisher supplied metadata and other sources
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Small Language Models and LLamaFile Learning About Small Language Models and Running Them Locally with LLamaFile This video series covers small language models, their advantages, and how to run them locally using the LLamaFile tool. Lessons Covered Include: 1.1 Introduction to Small Language Models 1.2 Demo: Running Phi Small Language Model with LLamaFile 2.1 Getting Started with LLamaFile 2.2 Demo: Running Lava Multi-Modal Vision Model with LLamaFile Learning Objectives Understand what small language models are and their advantages Learn how to run local language models using the LLamaFile tool See demos of running different small language models like Phi and Lava Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 17
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330006366
    Language: English
    Pages: 1 online resource (19 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 18
    ISBN: 9798330019588
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 19
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330019755
    Language: English
    Pages: 1 online resource (17 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 20
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350071269
    Language: English
    Pages: 1 online resource (17 pages)
    Note: Description based on publisher supplied metadata and other sources
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  • 21
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330006281
    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 22
    ISBN: 9798330006489
    Language: English
    Pages: 1 online resource (18 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 23
    ISBN: 9798350067484
    Language: English
    Pages: 1 online resource (15 pages)
    DDC: 649.1
    Keywords: Parenting--Psychological aspects ; Parent and child
    Note: Description based on publisher supplied metadata and other sources
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  • 24
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350070668
    Language: English
    Pages: 1 online resource (11 pages)
    Note: Description based on publisher supplied metadata and other sources
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  • 25
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330006540
    Language: English
    Pages: 1 online resource (22 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 26
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350071436
    Language: English
    Pages: 1 online resource (11 pages)
    Note: Description based on publisher supplied metadata and other sources
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  • 27
    ISBN: 9798330019847
    Language: English
    Pages: 1 online resource (12 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 28
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350065718
    Language: English
    Pages: 1 online resource (19 pages)
    DDC: 320.0820971
    Keywords: Klein, Naomi, 1970- ; Doppelgängers
    Note: Description based on publisher supplied metadata and other sources
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  • 29
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Agile software development ; Intelligence artificielle ; Méthodes agiles (Développement de logiciels) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Agile with AI Enhancing Agile Methodologies with Artificial Intelligence This video course explores the integration of Agile practices with Artificial Intelligence (AI) to streamline software development processes and improve productivity. By combining the principles of Agile and the capabilities of AI, you can unlock new levels of efficiency and innovation. Lessons Covered Include: 1.0 Course Introduction 2.1 Waterfall Planning 2.2 Playground vs. Plant Analogy 3.2 Pragmatic Agile 3.15 Productivity Techniques 4.1 AIOps (Artificial Intelligence for IT Operations) 4.2 Diagram Prompt Engineering 4.3 Summarizing Text with Claude 4.4 AI Pair Programming: Paradigm Shift 4.5 AWS CodeWhisperer for Rust 4.7 Serverless Bedrock Diagram 4.8 Bedrock Knowledge Agent: Retrieval-Augmented Generation (RAG) 4.9 Building Blocks for Generative AI: WhisperCPP RAW Learning Objectives Understand the foundations of Agile methodologies and their importance in software development Learn techniques for enhancing Agile practices with AI tools and techniques Explore AI-powered productivity techniques for streamlining development workflows Discover AI-driven approaches to pair programming, code generation, and prompt engineering Gain insights into cutting-edge AI applications in software development, such as AIOps and knowledge agents Learn to leverage AI tools like AWS CodeWhisperer and Retrieval-Augmented Generation (RAG) models Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 30
    ISBN: 9798330007165
    Language: English
    Pages: 1 online resource (16 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 31
    ISBN: 9798330006595
    Language: English
    Pages: 1 online resource (25 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 32
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350070286
    Language: English
    Pages: 1 online resource (16 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 33
    ISBN: 9798350084047
    Language: English
    Pages: 1 online resource (22 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 34
    ISBN: 9798350067583
    Language: English
    Pages: 1 online resource (13 pages)
    DDC: 152.4
    Keywords: Emotions--Sociological aspects
    Note: Description based on publisher supplied metadata and other sources
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  • 35
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330006519
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st ed.
    DDC: 305.4092/241
    Keywords: Women--Great Britain--19th century--Biography ; Women--Great Britain--Intellectual life--19th century
    Note: Description based on publisher supplied metadata and other sources
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  • 36
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350066074
    Language: English
    Pages: 1 online resource (14 pages)
    Edition: 1st ed.
    DDC: 306.89
    Keywords: Divorced women--United States--Biography ; Women television personalities--United States--Biography
    Note: Description based on publisher supplied metadata and other sources
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  • 37
    ISBN: 9798350066876
    Language: English
    Pages: 1 online resource (16 pages)
    DDC: 306.85
    Keywords: Families ; Arment, Ainsley ; Parent and child
    Note: Description based on publisher supplied metadata and other sources
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  • 38
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350066258
    Language: English
    Pages: 1 online resource (16 pages)
    DDC: 306.81
    Keywords: Marriage
    Note: Description based on publisher supplied metadata and other sources
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  • 39
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350069990
    Language: English
    Pages: 1 online resource (15 pages)
    DDC: 305.8
    Keywords: Racially mixed people ; Ishikawa, Masaji
    Note: Description based on publisher supplied metadata and other sources
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  • 40
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330019120
    Language: English
    Pages: 1 online resource (16 pages)
    Edition: 1st ed.
    DDC: 306.85
    Keywords: Advice columnists--Biography
    Note: Description based on publisher supplied metadata and other sources
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  • 41
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350065985
    Language: English
    Pages: 1 online resource (14 pages)
    DDC: 306.7
    Keywords: Duggar, Jill ; Man-woman relationships--United States ; Reality television programs--United States
    Note: Description based on publisher supplied metadata and other sources
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  • 42
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350068436
    Language: English
    Pages: 1 online resource (18 pages)
    DDC: 305.42090000000002
    Keywords: Feminism--History ; Women--Social conditions--History--To 1500
    Note: Description based on publisher supplied metadata and other sources
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  • 43
    ISBN: 9798350066418
    Language: English
    Pages: 1 online resource (17 pages)
    DDC: 305.30993999999998
    Keywords: Marriage--Australia--Drama ; Married people--Australia--Drama
    Note: Description based on publisher supplied metadata and other sources
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  • 44
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350069945
    Language: English
    Pages: 1 online resource (13 pages)
    DDC: 306.73599999999999
    Keywords: Adultery ; Murder
    Note: Description based on publisher supplied metadata and other sources
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  • 45
    ISBN: 9798350069419
    Language: English
    Pages: 1 online resource (16 pages)
    DDC: 306.89309200000002
    Keywords: Divorced women--United States--Biography ; Women poets, American--21st century--Biography
    Note: Description based on publisher supplied metadata and other sources
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  • 46
    ISBN: 9798350083002
    Language: English
    Pages: 1 online resource (22 pages)
    Edition: 1st ed.
    DDC: 303.4833
    Keywords: Information technology--Social aspects ; Thought and thinking
    Note: Description based on publisher supplied metadata and other sources
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  • 47
    Online Resource
    Online Resource
    Cork : IRB
    ISBN: 9798330010639
    Language: English
    Pages: 1 online resource (14 pages)
    Edition: 1st ed.
    DDC: 306.3
    Keywords: Economics--Sociological aspects ; Information technology--Economic aspects
    Note: Description based on publisher supplied metadata and other sources
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  • 48
    ISBN: 9798330019663
    Language: English
    Pages: 1 online resource (19 pages)
    Edition: 1st ed.
    DDC: 306.81
    Keywords: Marriage--Psychological aspects
    Note: Description based on publisher supplied metadata and other sources
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  • 49
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798330019571
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st ed.
    Note: Description based on publisher supplied metadata and other sources
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  • 50
    ISBN: 9798330019663
    Language: English
    Pages: 1 online resource (19 pages)
    Edition: 1st ed.
    DDC: 306.81
    Keywords: Marriage--Psychological aspects
    Note: Description based on publisher supplied metadata and other sources
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  • 51
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (20 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Pragmatic AI labs course
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive course teaches you to leverage the power of cloud computing to develop production-ready machine learning solutions. Starting with the fundamentals of cloud storage, security, and infrastructure as code, you will gain a solid foundation in cloud computing concepts. The course then dives into serverless machine learning, teaching you to build and deploy ML models using popular cloud AutoML platforms like Google AutoML, Amazon SageMaker, Microsoft Azure ML, and CreateML. Through hands-on labs, you'll learn to train custom models with just a few lines of configuration, without needing deep ML expertise. Next, the course explores serverless technologies like AWS Lambda, Google Cloud Functions, and Azure Functions to cost-effectively operationalize your ML models at scale. You'll learn to expose your AutoML models as serverless microservices, automatically scaling to handle any load. The course also covers serverless data processing and ETL to build complete ML pipelines. Finally, you'll learn to apply DevOps best practices to your serverless ML applications using continuous integration and delivery (CI/CD), infrastructure as code, monitoring, and containerization technologies like Docker and Kubernetes. By the end, you'll have the skills to build highly scalable end-to-end machine learning solutions leveraging the latest cloud AutoML and serverless technologies.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 14, 2024)
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  • 52
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 001.642
    Keywords: Computer programming ; Zig (Computer programming language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Getting Started with the Zig Programming Language Learning the Language During Live Coding This video series covers the basics of the Zig programming language through live coding, allowing viewers to learn the language iteratively as it is being used. Lessons Covered 1.0 Getting Started Learning Objectives Learn the fundamentals of the Zig programming language Learn to build solutions with Zig Learn the key syntax and features of Zig Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs Course.". - Online resource; title from title details screen (O'Reilly, viewed April 25, 2023)
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  • 53
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Amazon Web Services (Firm) ; Database management ; Database design ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Infonuagique ; Logiciels d'application ; Développement ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed October 17, 2023)
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  • 54
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Certified Security - Specialty Exam Prep This video series provides comprehensive preparation for the AWS Certified Security - Specialty (SCS-C02) exam. Lessons Covered Include: Domain 1: Threat Detection and Incident Response 1.0 Introduction 1.1 Designing and Implementing Incident Response Plans 1.2 Detecting Security Threats and Anomalies with AWS Services 1.3 Responding to Compromised Resources and Workloads 1.4 Automating Incident Response with AWS Lambda 1.5 Conducting Root Cause Analysis with Amazon Detective 1.6 Capturing Forensics Data from Compromised Resources 1.7 Querying Logs to Validate Security Events 1.8 Preserving Forensic Artifacts with S3 Object Lock 1.9 Preparing and Recovering Services After Incidents 1.10 Incident Response Case Study 1.11 Practice Exam - Threat Detection and Response 1.12 Threat Detection and Incident Response Summary Learning Objectives Understand best practices for incident response in the cloud Explore AWS services to detect security threats Learn how to respond to compromised resources Domain 2: Security Logging and Monitoring 2.0 Introduction 2.1 Designing and Implementing Monitoring and Alerting 2.2 Troubleshooting Security Monitoring and Alerting 2.3 Designing and Implementing Logging Solutions 2.4 Troubleshooting Logging Solutions 2.5 Designing Log Analysis Solutions 2.6 Configuring AWS CloudTrail for Logging 2.7 Analyzing Logs with Amazon Athena 2.8 Monitoring Case Study 2.9 Practice Exam - Logging and Monitoring 2.10 Optimizing Log Storage Lifecycles 2.11 Third Party Log Analysis Tools 2.12 Security Logging and Monitoring Summary Learning Objectives Understand how to set up monitoring and alerts for security Learn best practices for logging and log analysis Gain skills in troubleshooting logging and monitoring Domain 3: Infrastructure Security 3.0 Introduction 3.1 Designing and Implementing Edge Service Security 3.2 Designing and Implementing Network Security 3.3 Designing and Securing Compute Workloads 3.4 Troubleshooting Network Security 3.5 Securing EC2 Instances with SSM 3.6 Scanning Images for Vulnerabilities 3.7 Infrastructure Security Case Study 3.8 Practice Exam - Infrastructure Security 3.9 Integrating AWS Firewall Manager 3.10 Applying Security Best Practices to Lambdas 3.11 Hardening AMIs with EC2 Image Builder 3.12 Infrastructure Security Summary Learning Objectives Learn how to secure AWS network infrastructure Understand options for compute and workload security Gain skills in troubleshooting infrastructure issues Domain 4: Identity and Access Management 4.0 Introduction 4.1 Designing Authentication for AWS Resources 4.2 Designing Authorization for AWS Resources 4.3 Troubleshooting with IAM Access Analyzer 4.4 Enforcing Least Privilege Access 4.5 Separating Duties with IAM Roles 4.6 Identity and Access Management Case Study 4.7 Practice Exam - Identity and Access Management 4.8 Securing Root User Credentials 4.9 IAM Policy Simulator for Troubleshooting 4.10 Enabling Federated Access with SSO 4.11 Managing Credentials and Secrets 4.12 Identity and Access Management Summary Learning Objectives Master IAM best practices for authentication and authorization Understand how to apply least privilege and separation of duties Learn to troubleshoot IAM issues Domain 5: Data Protection 5.0 Introduction 5.1 Data in Transit Confidentiality and Integrity 5.2 Data at Rest Confidentiality and Integrity 5.3 Managing Data at Rest Lifecycles 5.4 Protecting Credentials, Secrets, and Keys 5.5 Encrypting Data with AWS KMS 5.6 Data Protection Case Study 5.7 Practice Exam - Data Protection 5.8 Enforcing Data Retention with Glacier 5.9 Preventing Data Deletion with S3 Object Lock 5.10 Rotating RDS Credentials 5.11 Encrypting Data in Transit with SSL/TLS 5.12 Data Protection Summary Learning Objectives Learn techniques to protect data in transit and at rest Understand how to manage data lifecycles Gain skills in managing credentials and secrets Domain 6: Management and Security Governance 6.0 Introduction 6.1 Strategies for Central Account Deployment 6.2 Secure and Consistent Cloud Deployment 6.3 Evaluating Compliance of AWS Resources 6.4 Identifying Security Gaps through Reviews and Cost 6.5 AWS Organizations SCP Best Practices 6.6 Governance Case Study 6.7 Practice Exam - Governance 6.8 Automating Security Deployments 6.9 Tagging Resources for Governance 6.10 AWS Config for Security Assessments 6.11 AWS Well Architected Tool 6.12 Governance and Security Management Summary Learning Objectives Understand best practices for governing accounts and resources Learn how to align security with organizational requirements Gain skills in compliance, auditing, and deployment Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification AWS Solutions Architect Professional (SAP-C02) 2023 Assimilate Python From Zero.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 55
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Rust (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live Coding Rust Candle from Hugging Face Learning LLMOps This video series covers live coding Rust Candle from Hugging Face for LLMOps Lessons Covered Include: 1.0 Building binaries for Phi using AWS CodeBuild and Rust Candle Learning Objectives Run your own Rust LLMs Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 56
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Examinations ; Computing platforms Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Google Professional Cloud Architect Certification Course 2023 (Rough Draft) Welcome to the Google Professional Cloud Architect Certification Course! This course is designed to help you prepare for the Google Cloud Certified Professional Cloud Architect certification exam. As a professional cloud architect, you will be responsible for designing, developing, and managing secure, scalable, and highly available cloud solutions using Google Cloud Platform. Course Overview Course One: Designing and planning a cloud solution architecture 1.0 Rough Draft Introduction Introduction to Google Professional Architect Course Onboarding to GCP Cloud Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Designing network, storage, and compute resources Using Google Cloud Functions Running Minikube Running Minikube with FastAPI for Kubernetes development Getting Started with Google Cloud Run Load testing with locust Design technical solutions for evolution and migration SRE Mindset Conclusion and Next Steps Course Two: Managing and provisioning a solution infrastructure Introduction to Google Professional Architect Course Two Exploring Network Topologies in GCP: A Demonstration Embracing Hybrid Networking in Google Cloud Platform Overview of GCP Storage Demo of using the SDK and CLI to manage storage Data lifecycle management Data security Demo of building Rust deduplication finder Compute volatility configuration (preemptible vs. standard) Demo Build and Deploy Rust Actix Microservice Cloud Run Container orchestration with GKE Demo of extending Google Cloud Functions Conclusion Course Two Course Three: Designing for Security and Compliance Introduction to Google Professional Architect Course Three Mastering Identity and Access Management in GCP Data Security Best Practices for GCP Secrets Manager API: A Hands-on Guide Exploring a data poisoning attack Meeting Industry Certification Requirements in GCP Auditing GCP Security with Log Analysis Creating Custom Log Dashboards for GCP Security Monitoring Scanning Web Applications with GCP's Cloud Web Security Scanner Analyzing GCP Logs with BigQuery GCP Security: Conclusion and Next Steps Course Four: Designing and optimizing technical and business processes Introduction to Google Professional Architect Course Four Continuous Delivery: An Introduction Hands-on with Continuous Integration in GCP Troubleshooting Techniques: The Five Whys Implementing Simple GitHub Actions for CI/CD The Three Most Important Files in a Python Project Utilizing Trello for Effective Project Management Leveraging Spreadsheets for Project Management Exploring the MLOps Maturity Model Building Bespoke Systems for Core Business Functions Data Science on Windows: Virtualenv and Pip Site Reliability Engineering (SRE) in GCP Performing Load Testing in GCP: A Demo Course Five: Managing and optimizing cloud solution Implementation Introduction to Google Professional Architect Course Five Makefiles Made Easy: A Comprehensive Guide Configuring Your Bashrc for an Optimal Environment Implementing Continuous Integration for Rust with GitHub Actions Unit Testing in Rust: A Hands-on Demonstration Supercharging Rust Development with Copilot Setting Up a GCP Workstation for Python Development Mastering Google Cloud Shell: A Practical Guide Streamline Your Development with Google Cloud Editor Getting Started with the Google Cloud CLI SDK Unleashing the Power of Google Cloud's 'gcloud' Command-Line Tool Deploying Rust Applications to App Engine: A Step-by Course Six: Ensuring solution and operations reliability Introduction to Google Professional Architect Course Six Monitoring and Logging Rust App Engine Applications: A Demo Uncovering the Advantages of Cloud Developer Workspaces Operationalizing Microservices in the Cloud Introducing GitHub Codespaces for Streamlined Development Compiling Python Projects in GitHub Codespaces Mastering Continuous Integration in GCP Course Wrap-up and Future Steps in Your GCP Journey Learning Objectives Design and optimize cloud solutions Analyze and optimize technical and business processes Manage and provision cloud infrastructure Ensure solution and operations reliability By the end of this course, you will have the knowledge and skills needed to pass the Google Cloud Certified Professional Cloud Architect exam and to effectively design and manage cloud solutions using Google Cloud Platform. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 57
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Codewhisperer
    DDC: 005.3
    Keywords: Amazon Web Services (Firm) ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learning Generative AI with AWS CodeWhisperer During Live Coding This video series covers live coding in various languages iteratively, thus learning the language. Lessons Covered Include 1.0 Getting started with Bash and Rust using AWS CodeWhisperer, VSCode, and AWS Toolkit for VSCode Learning Objectives Learn the fundamentals of Generative AI Learn to build AI-powered solutions with Bash, Rust, and AWS services Master the key syntax and features of Bash and Rust languages Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Live coding.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 58
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Using Rust with Python A Practical Guide to Rust for Python Developers Topics: Lesson 1: Introduction to Rust and Python Integration & PyO3 Basics Video 1.1 : Introduction to Rust and Python Video 1.2 : PyO3 Installation Video 1.3 : Basic Rust Library Video 1.4 : Rust to Python Video 1.5 : Rust Ownership Model Video 1.6 : Diagram PyO3 Project Video 1.7 : Python Calc CLI Video 1.8 : PyO3 Features Video 1.9 : PyO3 Exceptions Lesson 2: Advanced Rust and Python Mixing Techniques Video 1.10 : Call Python from Rust Video 1.11 : Run Python Embedded in Rust Video 1.12 : Embedded Rust CLI Diagram Video 1.13 : Embedded Rust CLI Video 1.14 : Embedded Rust CLI Test Video 1.15 : Rust-built Python Tools Video 1.16 : Using Rust Ruff Linter Lesson 3: Python and Rust Command-Line Tools & Recap Video 1.17 : Using Polars with Python and Rust Video 1.18 : Polars CLI in Rust Video 1.19 : Polars CLI Test in Rust Video 1.20 : Polars-CLI Integration Test Video 1.21 : Polars Criterion Benchmarking Learning Objectives Understand the need for Rust and Python integration. Explore the PyO3 library and its usage. Understand the Rust ownership model and its usage in PyO3. Who Should Take This Course Python developers who want to learn Rust and its integration with Python. Rust developers who want to learn how to integrate Rust with Python. Developers who want to learn how to build command-line tools using Rust and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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  • 59
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (36 min.)) , sound, color
    Edition: [First edition].
    Series Statement: Pragmatic AI labs course
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate ONNX Learning about ML Model portability During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 Getting started with ONNX. In this live coding session I was able to get both resnet and ONNX working in Rust with Sonos/Trac. Learning Objectives Learn to work with ONNX models Learning to build solutions with ONNX models in Rust Learning the key syntax and features ONNX models Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 60
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Pragmatic AI labs course
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Rust (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This video series covers live coding with TensorFlow and the Rust language.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 61
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust for Pythonistas What you'll learn-and how you can apply it A multi-hour jam session where you will learn to code in Rust. * Write efficient and safe Rust code * Leverage Rust libraries and tools in your projects * Combine Rust with Python for improved application performance Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Live coding.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 62
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (38 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 005.1
    Keywords: Rust (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust LLMOps: A Rough Draft Course (Updated JIT) Learning During Live Coding This video series is a rough draft course being updated JIT (Just in Time) and covers the Rust language through live coding. We offer an iterative approach to understand and master the language, particularly focusing on its application in MLOps. Lessons Covered Include: Rust Hugging Face Candle Description This week, you will delve into the powerful combination of Rust with Candle, a minimalist ML framework, and explore how they can be used with Hugging Face's popular transformer models. You will apply these concepts by working on a series of hands-on labs that guide you through building, training, and deploying machine learning models using Rust, Candle, and Hugging Face. Learning Objectives By the end of this lesson, you will be able to: - Implement Candle in Rust to create and train machine learning models. - Utilize the various features of Candle, including syntax, GPU efficiency, and browser deployment. - Integrate Hugging Face transformers with Rust for natural language processing tasks. - Apply the principles of Rust and Candle to build real-world machine learning applications. - Evaluate the performance and scalability of Rust-based ML solutions using Candle and Hugging Face. Lesson Structure Original 4.1 Candle: A Minimalist ML Framework for Rust 4.2 Using GitHub Codespaces for GPU Inference with Rust Candle 4.3 VSCode Remote SSH development AWS Accelerated Compute 4.4 Building Hello World Candle 4.5 Exploring StarCoder: A State-of-the-Art LLM for Code 4.6 Using Whisper with Candle to Transcribe 4.7 Exploring Remote Dev Architectures on AWS.
    Note: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 63
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: GitHub (Computer file) ; Application software Development ; Computer security ; Logiciels d'application ; Développement ; Sécurité informatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: GitHub Foundations: Privacy, Security and Administration (Rough Draft) Updated (JIT) as it is built About This Video Course Building Secure and Efficient GitHub Workflows This video series covers live coding the GitHub Administration and Security domain iteratively, thus learning the best practices and nuances of managing and securing GitHub projects. Lessons Covered Include: 1.0 Course Introduction: Building Secure and Efficient GitHub Workflows 1.1 Introduction to Authentication and Security: Ensuring Your GitHub Account's Integrity 1.2 Securing Account with 2FA 1.3 Understanding Access Permissions 1.4 Enterprise Managed Users (EMUs) Explained 1.5 Introduction to GitHub Administration: Configuring and Managing Repositories and Organizations 1.6 Enabling and Disabling Features 1.7 Repository Permission Levels Explained 1.8 Setting Repository Visibility Options 1.9 Repository Privacy Settings and Options 2.0 Features and Options in the Security Tab 2.1 Understanding Repository Insights 2.2 Managing Collaborators in GitHub 2.3 Managing Organization Settings 2.4 Members, Teams, and Roles in a GitHub Organization 2.5 Next Steps: Continuing Your GitHub Mastery Journey Learning Objectives Learn GitHub's authentication and security measures Learning to build solutions with robust repository management Learning the key syntax and features of GitHub Administration and Security Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification AWS Solutions Architect Professional (SAP-C02) 2023 Assimilate Python From Zero.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 64
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Rust (Computer program language) ; Application software Development ; Systems programming (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live Coding in Rust: Unleash the Power of Systems Programming Delve deep into the Rust ecosystem with this groundbreaking live coding series, focused on building robust and performant software, including cutting-edge topics like LLMOps and machine learning with Hugging Face's Candle library. What You'll Get Live coding sessions with expert commentary Weekly updates and continually expanding! High-impact projects and examples Exclusive discussions on Rust best practices Topics covering LLMOps, machine learning, and more A focus on performance, safety, and systems programming Course Outline (Future and Current Content) Rust Fundamentals Introduction to Rust Understanding Ownership & Borrowing Error Handling in Rust LLMOps in Rust Live Coding Rust: LLMOps in Rust--Exploring Hugging Face Candle Building Custom LLMOps Libraries Rust and LLVM: A Match Made in Heaven Machine Learning in Rust Implementing ML Algorithms in Rust Using Hugging Face Candle for NLP Deploying Rust ML Models in Production Systems Programming Writing File Systems in Rust Creating Web Servers with Actix Asynchronous Programming with async/await Rust in DevOps Automating CI/CD Pipelines with Rust Rust for Cloud Operations Rust in Containerized Environments Topics Covered LLMOps : The intersection of LLVM and DevOps Machine Learning : Building and deploying models in Rust Systems Programming : Low-level operations made easier and safer DevOps : Leverage Rust for automating operations tasks Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Pragmatic AI Labs Course.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 65
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Rust (Computer program language) ; Cloud computing ; Web applications Development ; Application software Development ; Computer architecture Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust AWS Lambda Build and deploy serverless applications with Rust and AWS Lambda This course will help you build and deploy serverless applications with Rust and AWS Lambda. You will learn how to create, deploy, and manage AWS Lambda functions using Rust, leveraging the power and performance of the language for serverless architecture, and apply it by building a real-world Lambda function as a part of a distributed application. What you will learn Understand the concept of serverless architecture and AWS Lambda. Create and deploy AWS Lambda functions written in Rust. Integrate Lambda functions with other AWS services. Monitor, test, and optimize Rust-based Lambda functions. Implement real-world applications using Rust and AWS Lambda. Lesson 1: Getting Started with Rust AWS Lambda and Serverless Introduction to Serverless and AWS Lambda Walk through Rust Firecracker Project Setting up VSCode AWS Toolkit and CodeWhisperer for Rust Introduction to Cargo Lambda Rust Cost Advantage AWS Lambda Using the AWS Lambda Console Using the Step Functions Console Invoking Step Functions from AWS CLI Lesson 2: Advanced Techniques with Rust and AWS Lambda Building a Rust AWS Lambda Add Function Building a Rust AWS Lambda Divide by Two Function Invoking AWS Step Function from CLI Building Chainable AWS Step Functions with Rust Serverless MLOPs with EFS mounted in AWS Lambda Using Rust AWS Lambda Function URLs Saving money with arm64 Rust AWS Lambdas Lesson 3: Building a Polars Rust AWS Lambda Solution Polars Rust AWS Lambda Build and Deploy Polars Rust AWS Lambda Using AWS Console with deployed Polars Rust AWS Lambda Analyzing Rust AWS Lambda code with CodeWhisperer and AWS Toolkit AWS Lambda Function URLs Build and Deploy Polars Rust AWS Lambda Function URLs.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 46 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Pragmatic AI labs course
    Series Statement: Live rough draft series
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Switch to Rust Switching to Rust from Python (Live Rough Draft Series) This video series covers how to switch to Rust from Python. It is in rough draft format and will be updated as the series progresses. The aim is to get this content out to the community as soon as possible. You can follow along with the code on GitHub at * Rust Tutorial- https://nogibjj.github.io/rust-tutorial/ . * Rust MLOps Template- https://github.com/noahgift/rust-mlops-template Lessons Covered Include: Lesson 1: Introduction to Leveling Up from Python to Rust The lesson is an introduction to a "Switch to Rust" course that covers the use of a live book of Rust lecture notes, installation and setup of Rust on AWS Cloud9, using GitHub Copilot for Rust development, and leveling up from Python to Rust. It also compares the energy efficiency of Python and Rust. 1.0 Introduction to Switch to Rust Course 1.1 Live Book of Rust Lecture Notes Overview 1.2 Rust Installation and Setup on AWS Cloud9 and explain why different than Python 1.3 Using GitHub Copilot to assist in Rust development and Leveling Up from Python. 1.4 Leveling up rust packaging actix microservice and crates 1.5 Energy efficiency of Python vs Rust Lesson 2: Building High Performance Rust Command Line Interfaces for MLOps, Distributed Systems, and Data Engineering This lesson describes the use of Rust for high performance Machine Learning Operations (MLOPs) with Hugging Face, including a comparison of systems programming in Rust and Python. It covers the creation of a high-performance data engineering tool in Rust that deduplicates data using Rayon for safe and memory efficient concurrency. The lesson also discusses building a high-performance GPU-accelerated Hugging Face Translator CLI using Rust. 2.0 High Performance MLOPs with Rust Hugging Face doing Zero Shot Classification 2.1 systems programming rust vs python for MLOPs 2.2 Building a high-performance data engineering tool with Rust that deduplicates data using Rayon with safe and memory efficient concurrency 2.3 Building a high-performance GPU-accelerated Hugging Face Translator CLI with Rust Lesson 3: Building GPU-accelerated MLOps with Rust In this lesson, we discuss the setup of reproducible GitHub Codespaces for GPU workflows using Stable Diffusion with Rust PyTorch bindings. Next we highlight the use of Amazon Firecracker in AWS Lambda as one of the most impressive use cases and go on to explain how to train models in Rust using PyTorch that target the GPU. The lesson also covers the creation of a CUDA-enabled stress test using Rust PyTorch bindings and Rayon for multithreaded GPU-accelerated MLOps 3.0 Reproducible GitHub Codespaces repo setup for GPU workflows with Stable Diffusion with Rust PyTorch bindings 3.1 In this video, I talk about one of the most impressive use cases, amazon #firecracker that powers #aws #lambda. Can you get bigger than this? Then I dive into training models in Rust with #pytorch that target the GPU. 3.2 Building a CUDA-enabled Stress Test with Rust PyTorch bindings and Rayon for multithreaded GPU-accelerated MLOps Lesson 4: Building Rust Containerized Solutions Lesson 5: Building Rust Cloud Computing Solutions for AWS 5.1 Building an Actix Web Server with Rust and Deploying to AWS App Runner Learning Objectives Learn program in Rust using Python as a reference and advanced tools like GitHub Copilot to assist Learning to build solutions with Rust including CLI, Web, and MLOps Learning to build Rust solutions for AWS, GCP, and Azure Learning to build Rust solutions for Kubernetes, Docker, and Serverless Learning to build Rust solutions for Data Engineering, Data Science, and Machine Learning Operations (MLOps) Learning to build Rust solutions for GPU-accelerated Machine Learning Learning the key syntax and features of the Rust Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Computing platforms Study guides Examinations ; Computer engineers Certification ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Certification Exam Guide Welcome to the Google Professional Machine Learning Engineer Course! This course is designed to help you prepare for the Google Professional Machine Learning Engineer certification exam. Learning Objectives Develop a deep understanding of Google Cloud technologies and various ML models and techniques to design, build, and productionize machine learning solutions that address specific business challenges while adhering to responsible AI practices. Collaborate effectively with cross-functional teams, including application developers, data engineers, and data governance professionals, to ensure the long-term success of ML models throughout their development, deployment, and maintenance. Master the skills required to design, implement, and manage ML architectures, data pipelines, and metric interpretations, as well as optimize model performance through training, retraining, deploying, scheduling, monitoring, and refining models in scalable and efficient ways. Learn how to use the Google Cloud Platform (GCP) to build and deploy ML models, including how to use GCP services such as BigQuery, Cloud Storage, Cloud AI Platform, and Cloud Functions to build and deploy ML models. Who Should Take This Course? Data scientists Data engineers Machine learning engineers Software engineers Data analysts Data architects Business analysts Anyone interested in learning about machine learning and Google Cloud Platform Course One: Framing ML Problems Course Two: Architecting ML solutions Course Three: Designing data preparation and processing systems Course Four: Developing ML models Course Five: Automating and orchestrating ML pipelines Course Six: Monitoring, optimizing, and maintaining ML solutions Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 68
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Rough draft
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Database management Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Professional Data Engineer Certification Course Section 1: Designing Data Processing Systems 1.1 Storage technology selection 1.2 Data pipeline design 1.3 Data processing solution design 1.4 Data warehousing & processing migration Section 2: Building & Operationalizing Data Processing Systems 2.1 Storage system implementation 2.2 Pipeline building & operationalization 2.3 Processing infrastructure implementation Section 3: Operationalizing ML Models 3.1 Pre-built ML models as a service 3.2 ML pipeline deployment 3.3 Training & serving infrastructure selection 3.4 ML model measurement, monitoring & troubleshooting Section 4: Ensuring Solution Quality 4.1 Security & compliance design 4.2 Scalability & efficiency assurance 4.3 Reliability & fidelity assurance 4.4 Flexibility & portability assurance Learning Objectives Learn to design, build, and operationalize data processing systems that meet business requirements, system requirements, and industry best practices. Learning to build scalable, efficient, and secure solutions with Google Cloud technologies to manage and analyze data at scale. Learning the key syntax and features of the SQL language for handling, querying, and performing operations on structured data in Google Cloud. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 69
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Git (Computer file) ; Computer software Development ; Open source software ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Enterprise - Certified Learning the GitHub Enterprise Certification Material This course covers all seven domains of the the GitHub Enterprise Certification Lessons Covered Include: Domain 1: Support GitHub Enterprise for users and key stakeholders Distinguish admin tasks vs needing GitHub Support Generate support bundles and diagnostics Identify underutilized features, integrations, active teams/repos Recommend standards for workflows, branching, code review, automation Explain tooling ecosystem and CI/CD strategy Recommend workflows and tooling to teams Use GitHub APIs to extend admin capabilities Find Marketplace assets for specific needs Contrast GitHub Apps vs actions Domain 2: Manage user identities and GitHub authentication Implications of enabling SAML SSO for orgs/enterprise Steps to enable and enforce SAML SSO Require two-factor authentication Supported identity providers GitHub identity management and authorization Authentication and authorization model Supported SCIM providers How SCIM and team sync works Domain 3: Describe deployment, distribution, licensing Capabilities of GHES, GHEC, GHAE Billing models including licenses, Actions, Packages License usage statistics for orgs, enterprise, machine accounts Consumption of metered products Domain 4: Manage access and permissions Enterprise permissions and policies Organization permissions Team permissions Repository permissions Domain 5: Enable secure development and compliance How GitHub supports enterprise security Scrubbing sensitive data Choosing policies for control required Impacts of policies Organization and enterprise policies Use audit log APIs to explain missing assets Security features of GitHub repositories Create security response plan SSH keys and deploy keys Domain 6: Manage GitHub Actions Distribute actions and workflows in enterprise Manage runners Manage encrypted secrets Domain 7: Manage GitHub Packages Supported Packages Accessing, writing, and sharing Packages Using Packages in workflows Contrasting Packages and releases Learning Objectives Manage user access and permissions across GitHub Enterprise environments through authentication, organizations, teams, and repositories. Establish secure development practices and compliance controls with GitHub features. Distribute and manage GitHub Actions across the enterprise. Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 70
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust Data Engineering: Course Description Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you. While a fundamental knowledge of Rust is expected, you should ideally be comfortable with the basics of data structures and algorithms, and have a working understanding of databases and data processing. Familiarity with SQL, the command line, and version control with git is advantageous. This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems. The journey begins with a deep dive into Rust's data structures and collections, followed by exploring Rust's safety and security features in the context of data engineering. In the subsequent week, you'll explore libraries and tools specific to data engineering like Diesel, async, Polars, and Apache Arrow, and learn to interface with data processing systems, REST, gRPC protocols, and AWS SDK for cloud-based data operations. The final week focuses on designing and implementing full-fledged data processing systems using Rust. By the end of this course, you will be well-equipped to use Rust for handling large-scale data engineering tasks, solving real-world problems with efficiency and speed. The hands-on labs and projects throughout this course will ensure you gain practical experience, putting your knowledge into action. This course is your gateway to mastering data engineering with Rust, preparing you for the next level in your data engineering journey. Learning Rust During Live Coding This video series covers live coding the Rust language iteratively, thus learning the language. Lessons Covered Include: Section 1: Rust Data Structures: Collections Lesson 1: Getting Started With The Modern Rust Development Ecosystem Meet the instructor & Course Overview: 1.0-meet-instructor-course-overview.mp4 Introduction to the AI Coding Paradigm Shift: 1.1-ai-pair-programming-paradigm-shift.mp4 Introduction to cloud-based development environments: 1.2-GitHub-Codespaces-Ecosystem-with-copilot-chat.mp4 Introduction to GitHub Copilot Ecosystem for Rust: 1.3-copilot-enabled-rust.mp4 Prompt Engineering with GCP BigQuery SQL: 1.4-big-query-prompt-engineering.mp4 Introduction to AWS CodeWhisperer for Rust: 1.5-aws-codewhisperer-for-rust.mp4 Using Google Bard to Enhance Productivity: 1.6-using-bard-to-enhance-productivity.mp4 Continuous Integration with Rust and GitHub Actions: 1.7-continuous-integration-rust-github-actions.mp4 Lesson 2: Rust Sequences and Maps Introducing Rust Sequences and Maps: 1.8-rust-sequences-maps.mp4 Print Rust data structures demo: 1.9-Print-Rust-data-structures-demo.mp4 Vector Fruit Salad demo: 1.10-Vector-Fruit-Salad-demo.mp4 VecDeque Fruit Salad demo: 1.11-VecDeque-Fruit-Salad-demo.mp4 Linkedin List Fruit Salad demo: 1.12-Linkedin-List-Fruit-Salad-demo.mp4 Fruit Salad CLI demo: 1.13-Fruit-Salad-CLI-demo.mp4 HashMap frequency counter demo: 1.14-HashMap-frequency-counter-demo.mp4 HashMap language comparison: 1.15-HashMap-language-comparison.mp4 Lesson 3: Rust Sets, Graphs and Miscellaneous Data Structures Analyzing UFC Fighter Network Using Graph Centrality in Rust: 1.16-ufc-graph-centrality.mp4 Storing Unique Fruits Using HashSet in Rust: 1.17-unique-fruits-with-hashset.mp4 Maintaining Sorted and Unique Fruits Using BTreeSet in Rust: 1.18-sorted-unique-fruits-with-btreeset.mp4 Creating a Fig Priority Fruit Salad Using Binary Heap in Rust: 1.19-fig-priority-fruit-salad-with-binary-heap.mp4 PageRank algorithm for sports data: 1.20-pagerank-sports.mp4 Showing shortest path with dijkstra: 1.21-shortest-path.mp4 Detecting Strongly Connected Components: A Deep Dive into Kosaraju's Algorithm: 1.22-strongly_connected_components_with_kosaraju.mp4 Simple Charting of Data Structures in Rust: 1.23-ascii-graphing.mp4 Section 2: Safety, Security and Concurrency with Rust Lesson 1: Rust Safety and Security Features Multi-Factor Authentication: 2.1_Multi-Factor_Authentication.mp4 Network Segmentation: 2.2_Network_Segmentation.mp4 Least Privilege Access: 2.3_Least_Privilege_Access.mp4 Encryption: 2.4_Encryption.mp4 Mutable fruit salad: 2.5-mutable-fruit-salad.mp4 Customize fruit salad with a CLI: 2.6-customize-csv-fruit-salad.mp4 Data Race example: 2.7-data-race.mp4 Lesson 2: Security Programming with Rust High Availability: 2.10-high-availability.mp4 Understanding the Homophonic Cipher: A Cryptographic Technique: 2.11-homphonic-cipher.mp4 Decoding the Secrets of the Caesar Cipher: 2.12-caesar-cipher.mp4 Building a Caesar Cipher Command Line Interface: 2.13-caesar-cipher-cli.mp4 Creating a Decoder Ring: A Practical Guide: 2.14-decoder-ring.mp4 Detecting Duplicates with SHA-3: A Data Integrity Tool: 2.15-sha3-dupe-detector.mp4 Incident Response: 2.16-incident-response.mp4 Compliance: 2.17-compliance.mp4 Lesson 3: Concurrency with Rust Core Concepts in Concurrency: 2.20-core-concepts-concurrency.mp4 Dining Philosophers: 2.21-dining-philosopher.mp4 Web Crawl Wikipedia with Rayon: 2.22-web-crawl-wikipedia-rayon.mp4 Intelligent Chatbot with Tokio: 2.23-tokio-chatbot.mp4 Multi-threaded deduplication with Rust: 2.24-data-eng-with-rust-dedupe.mp4 Energy Efficiency Python vs Rust: 2.25-energy-efficiency-python-rust.mp4 Concurrency Stress test with a GPU: 2.26-building-cuda-enabled-stress-test-with-rust-pytorch.mp4 Host Efficiency Serverless Optimization problem: 2.27-host-efficiency-optimization-problem.mp4 Section 3: Rust Data Engineering Libraries and Tools Lesson 1: Using Rust to Manage Data, Files and Network Storage Process CSV files in Rust: 2.31-process-csv-rust.mp4 Using Cargo Lambda with Rust: 2.33-cargo-lambda-rust.mp4 List files on AWS EFS with Rust: 2.34-rust-efs-lister.mp4 Use AWS S3 Storage: 2.35-use-s3-storage.mp4 Use AWS S3 Storage from Rust: 2.36-use-rust-for-s3-storage.mp4 Write encrypted data to tables or Parquet files: 2.37-Write-encrypted-data-to-tables-or-Parquet-files.mp4 Lesson 2: DataFrames with Rust, Python and Notebooks What is Colab?: 2.40-what-is-colab.mp4 Using Bard to enhance notebook development: 2.41-using-bard-to-enhance-productivity.mp4 Exploring Life Expectency in a Notebook: 2.42-life-expectancy-eda.mp4 Load a DataFrame with sensitive data: 2.43-Load-a-DataFrame-with-sensitive-information.mp4 Using MLFlow with Databricks Notebooks: 2.44-mlops-mlflow-tracking.mp4 End to End ML with MLFlow and Databricks: 2.45-end-to-end-ml-with-mlflow-and-databricks.mp4 Comparing DataFrame Libraries between Rust and Python: 2.46-comparing-dataframe-libs-rust-python.mp4 Lesson 3: Data Engineering Libraries and Tools with Rust Parquet file writing and reading with Rust: 2.50-parquet-read-write-rust.mp4 Arrow & Parquet in Rust: 2.51-arrow-parquet-rust.mp4 Serverless functions with Rust and AWS Lambda: 2.52-serverless-rust-aws-lambda.mp4 Polars library overview: 2.53-polars-library-overview.mp4 Building RESTful APIs with Rocket: 2.54-building-restful-apis-rocket.mp4 Utilizing Async Rust in Web Development: 2.55-utilizing-async-rust-web-development.mp4 Applying Data Cleaning Techniques with Rust: 2.56-applying-data-cleaning-rust.mp4 Deploying Rust Applications in a Kubernetes Environment: 2.57-deploying-rust-apps-kubernetes.mp4 Section 4: Designing Data Processing Systems in Rust Lesson 1: Getting Started with Rust Data Pipelines (Including ETL) Jack and the Beanstalk Data Pipelines: 4.1-jack-beanstalk-building-data-pipelines.mp4 Open Source Data Engineering - Pros and Cons: 4.2-open-source-de-pro-con.mp4 Core Components of Data Engineering Pipelines: 4.3-core-components-data-engineering-pipelines.mp4 Rust AWS Step Functions Pipeline: 4.4-rust-aws-step-functions.mp4 Rust AWS Lambda Async S3 Size Calculator: 4.5-rust-async-s3-size-calculator-lambda.mp4 What is Distroless: 4.6-what-is-distroless.mp4 Demo Deploying Rust Microservices on GCP: 4.7-demo-build-deploy-rust-microservice-cloud-run.mp4 Lesson 2: Using Rust and Python for LLMs, ONNX, Hugging Face, and PyTorch Pipelines Introduction to Hugging Face Hub: 4.10-intro-hugging-face-hub.mp4 Rust PyTorch Pre-trained Model Ecosystem: 4.11-rust-pytorch-pretrained-models-ecosystem.mp4 Rust GPU Hugging Face Translator: 4.12-rust-gpu-hugging-face-translator.mp4 Rust PyTorch High-Performance Options: 4.13-high-performance-pytorch-rust-demo.mp4 Rust CUDA PyTorch Stress Test: 4.14-building-cuda-enabled-stress-test-with-rust-pytorch.mp4 EFS ONNX Rust Inference with AWS Lambda: 4.15-efs-onnx-lambda-rust-inference-mlops.mp4 Theory behind model fine-tuning: 4.16-intro-fine-tuning-theory.mp4 Doing Fine Tuning: 4.17-doing-fine-tuning.mp4 Lesson 3: Building SQL Solutions with Rust, Generative AI and Cloud Selecting the correct database on GCP: 4.20-gcp-optimize-d...
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023). - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 71
    ISBN: 9781492095835 , 1492095834
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; C# (Computer program language) ; Cloud computing ; Application software Development
    Abstract: Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS. Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective. Get started building solutions with C# on AWS Learn DevOps best practices for AWS Explore the development tools and services that AWS provides Successfully migrate a legacy .NET application to AWS Develop serverless .NET microservices on AWS Containerize your .NET applications and move into the cloud Monitor and test your AWS .NET applications Build cloud native solutions that combine the best of the .NET platform and AWS.
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Databases ; Big data ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Databricks Certified Data Engineer Associate Course 1: Databricks Lakehouse Platform Description Learn foundational Databricks capabilities including compute, storage, notebooks, and jobs to build scalable data solutions. Learning Objectives Create clusters and configure runtime environments Perform exploratory analysis with notebooks Schedule and monitor multi-task workflows Course 2: Databricks SQL Description Master Spark SQL for reading, transforming, and loading data at scale. Learn techniques like data validation, custom business logic, and slowly changing dimensions. Learning Objectives Query data in notebooks with Spark SQL Handle complex data types Apply data quality rules Implement slowly changing dimensions Course 3: Databricks ML Description Build ML models with Python and Scala APIs in Databricks. Learn best practices for feature engineering, hyperparameter tuning, and model evaluation. Learning Objectives Engineer features from raw data Tune models with cross validation Evaluate model performance Operationalize models with MLflow Course 4: Databricks Data Engineering Description Architect reliable and performant data infrastructure with Delta Lake, streaming, and autoscaling. Learning Objectives Implement ACID transactions Build streaming ETL solutions Autoscale infrastructure to meet SLAs Migrate data warehouses to lakehouse Course 5: Workloads with Jobs Description Orchestrate workloads using multi-task Jobs with configurable scheduling, dependencies, and error handling. Learning Objectives Schedule notebooks, jobs and pipelines Set dependencies across tasks Handle and retry failures Monitor runs using the Jobs UI Course 6: Data Access with Unity Catalog Description Provide governed data access across storage like ADLS, S3, and GCS using Unity Catalog. Learning Objectives Deploy a Unity Catalog Manage credentials securely Apply object-level security Query data from storage tiers Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 73
    ISBN: 9798350064360
    Language: English
    Pages: 1 online resource (13 pages)
    Edition: 1st ed.
    DDC: 306.3/62092
    Keywords: Northup, Solomon, 1808-1863? ; Enslaved persons--United States--Biography ; Enslaved persons' writings, American
    Abstract: Intro -- Overview -- A Turn of Events -- Among the Captives -- The Ford Plantation -- Tougher Conditions -- Deliverance -- About the Author.
    Note: Description based on publisher supplied metadata and other sources
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    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798350065473
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st ed.
    Abstract: Intro -- Overview -- Summer's Unplanned Struggles -- Rock Climbing and Casual Dating -- College Life -- Love and Writing -- Troubles and Adventures -- An Unexpected Turn -- Struggles and Small Victories -- Mounting Pressure -- Trials and Triumphs -- About the Author.
    Note: Description based on publisher supplied metadata and other sources
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  • 75
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    ISBN: 9781098136543 , 1098136543 , 9781098136550 , 1098136551
    Language: English
    Pages: 1 online resource (380 p.)
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: Machine learning ; Information technology Management ; Machine learning ; Information technology Management ; Apprentissage automatique ; Technologie de l'information ; Gestion ; Apprentissage automatique ; Technologie de l'information - Gestion
    Abstract: With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy.
    Note: Description based upon print version of record. - Using Feast Feature Store
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  • 76
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669356615
    Language: English
    Pages: 1 online resource (57 pages)
    DDC: 305.569094215
    Keywords: Midwives ; Poor ; Poverty ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13 -- Insights from Chapter 14 -- Insights from Chapter 15 -- Insights from Chapter 16 -- Insights from Chapter 17 -- Insights from Chapter 18 -- Insights from Chapter 19 -- Insights from Chapter 20 -- Insights from Chapter 21 -- Insights from Chapter 22 -- Insights from Chapter 23 -- Insights from Chapter 24 -- Insights from Chapter 25 -- Insights from Chapter 26 -- Insights from Chapter 27 -- Insights from Chapter 28 -- Insights from Chapter 29 -- Insights from Chapter 30 -- Insights from Chapter 31 -- Insights from Chapter 32 -- Insights from Chapter 33 -- Insights from Chapter 34 -- Insights from Chapter 35.
    Note: Description based on publisher supplied metadata and other sources
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  • 77
    ISBN: 9781669354314
    Language: English
    Pages: 1 online resource (30 pages)
    DDC: 303.484092
    Keywords: Insanity (Law) ; Insanity (Law)--United States ; Married women--Legal status, laws, etc ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6.
    Note: Description based on publisher supplied metadata and other sources
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  • 78
    ISBN: 9781669355168
    Language: English
    Pages: 1 online resource (47 pages)
    DDC: 306.46100000000001
    Keywords: Fadiman, Anne, 1953- ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13 -- Insights from Chapter 14 -- Insights from Chapter 15 -- Insights from Chapter 16 -- Insights from Chapter 17 -- Insights from Chapter 18 -- Insights from Chapter 19 -- Insights from Chapter 20 -- Insights from Chapter 21.
    Note: Description based on publisher supplied metadata and other sources
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  • 79
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669357827
    Language: English
    Pages: 1 online resource (18 pages)
    DDC: 394.809440902
    Keywords: Crime ; Dueling ; France--History--14th century ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2.
    Note: Description based on publisher supplied metadata and other sources
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  • 80
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669393870
    Language: English
    Pages: 1 online resource (31 pages)
    DDC: 304.8
    Keywords: Emigration and immigration ; Nomads ; Refugees ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13.
    Note: Description based on publisher supplied metadata and other sources
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  • 81
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669386308
    Language: English
    Pages: 1 online resource (35 pages)
    DDC: 305.4889607471092
    Keywords: African American women ; Grandparents as parents ; Henderson, Danielle ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13 -- Insights from Chapter 14 -- Insights from Chapter 15 -- Insights from Chapter 16 -- Insights from Chapter 17 -- Insights from Chapter 18 -- Insights from Chapter 19 -- Insights from Chapter 20 -- Insights from Chapter 21 -- Insights from Chapter 22.
    Note: Description based on publisher supplied metadata and other sources
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  • 82
    ISBN: 9781669389873
    Language: English
    Pages: 1 online resource (36 pages)
    DDC: 305.2442092
    Keywords: Middle-aged women ; Philpott, Mary Laura ; Television talk show hosts ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13 -- Insights from Chapter 14 -- Insights from Chapter 15 -- Insights from Chapter 16 -- Insights from Chapter 17 -- Insights from Chapter 18 -- Insights from Chapter 19 -- Insights from Chapter 20 -- Insights from Chapter 21 -- Insights from Chapter 22 -- Insights from Chapter 23 -- Insights from Chapter 24 -- Insights from Chapter 25 -- Insights from Chapter 26 -- Insights from Chapter 27 -- Insights from Chapter 28 -- Insights from Chapter 29 -- Insights from Chapter 30 -- Insights from Chapter 31.
    Note: Description based on publisher supplied metadata and other sources
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  • 83
    ISBN: 9781669398059
    Language: English
    Pages: 1 online resource (35 pages)
    DDC: 302.17
    Keywords: Eccentrics and eccentricities ; Explorers ; Explorers--United States ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5.
    Note: Description based on publisher supplied metadata and other sources
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  • 84
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798822513136
    Language: English
    Pages: 1 online resource (28 pages)
    DDC: 303.48320000000001
    Keywords: Automobiles--Social aspects ; Technological innovations ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5.
    Note: Description based on publisher supplied metadata and other sources
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  • 85
    ISBN: 9781669398011
    Language: English
    Pages: 1 online resource (20 pages)
    DDC: 395.52
    Keywords: Business etiquette ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10.
    Note: Description based on publisher supplied metadata and other sources
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  • 86
    ISBN: 9781669395621
    Language: English
    Pages: 1 online resource (21 pages)
    DDC: 303.69
    Keywords: Conflict management ; Interpersonal communication ; Interpersonal conflict ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6.
    Note: Description based on publisher supplied metadata and other sources
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  • 87
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798822512153
    Language: English
    Pages: 1 online resource (29 pages)
    DDC: 305.89940000000001
    Keywords: Polynesia ; Polynesia--Description and travel ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6.
    Note: Description based on publisher supplied metadata and other sources
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  • 88
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798822515246
    Language: English
    Pages: 1 online resource (28 pages)
    DDC: 302.23
    Keywords: Mass media--Influence ; Mass media--United States--Influence ; Mass media and gays ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4.
    Note: Description based on publisher supplied metadata and other sources
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  • 89
    ISBN: 9798822510968
    Language: English
    Pages: 1 online resource (28 pages)
    DDC: 394.12
    Keywords: Agriculture--Environmental aspects--United States ; Agriculture--Social aspects ; Food habits ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4.
    Note: Description based on publisher supplied metadata and other sources
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  • 90
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669387862
    Language: English
    Pages: 1 online resource (34 pages)
    DDC: 390.09410000000003
    Keywords: National characteristics, English ; England--Social life and customs--21st century ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2.
    Note: Description based on publisher supplied metadata and other sources
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  • 91
    ISBN: 9798822515291
    Language: English
    Pages: 1 online resource (15 pages)
    DDC: 398.20974799999999
    Keywords: Folklore--Pennsylvania ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3.
    Note: Description based on publisher supplied metadata and other sources
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  • 92
    ISBN: 9798822505292
    Language: English
    Pages: 1 online resource (19 pages)
    DDC: 395.1/42
    Keywords: Etiquette for men ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11.
    Note: Description based on publisher supplied metadata and other sources
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  • 93
    ISBN: 9798822509498
    Language: English
    Pages: 1 online resource (41 pages)
    DDC: 305.48896073
    Keywords: African American women ; African American women--Biography ; Antislavery movements ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13.
    Note: Description based on publisher supplied metadata and other sources
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  • 94
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9798822518704
    Language: English
    Pages: 1 online resource (29 pages)
    DDC: 306.09485000000001
    Keywords: Quality of life ; Quality of life--Sweden ; Sweden--Social life and customs ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13 -- Insights from Chapter 14 -- Insights from Chapter 15 -- Insights from Chapter 16 -- Insights from Chapter 17 -- Insights from Chapter 18 -- Insights from Chapter 19 -- Insights from Chapter 20 -- Insights from Chapter 21 -- Insights from Chapter 22 -- Insights from Chapter 23 -- Insights from Chapter 24 -- Insights from Chapter 25 -- Insights from Chapter 26.
    Note: Description based on publisher supplied metadata and other sources
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  • 95
    ISBN: 9798822503618
    Language: English
    Pages: 1 online resource (41 pages)
    DDC: 395.22
    Keywords: Wedding etiquette ; Weddings--Planning ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11 -- Insights from Chapter 12 -- Insights from Chapter 13.
    Note: Description based on publisher supplied metadata and other sources
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  • 96
    ISBN: 9798822520363
    Language: English
    Pages: 1 online resource (48 pages)
    DDC: 304.60000000000002
    Keywords: Population--Mathematical models ; Demography--Mathematical models ; Business cycles--Mathematical models ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9 -- Insights from Chapter 10 -- Insights from Chapter 11.
    Note: Description based on publisher supplied metadata and other sources
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  • 97
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669356981
    Language: English
    Pages: 1 online resource (24 pages)
    DDC: 305.56920919999999
    Keywords: Hikers ; Homeless persons ; Husband and wife ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6.
    Note: Description based on publisher supplied metadata and other sources
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  • 98
    ISBN: 9781669357346
    Language: English
    Pages: 1 online resource (22 pages)
    DDC: 303.64
    Keywords: Civil war ; Democratization ; Domestic terrorism ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8.
    Note: Description based on publisher supplied metadata and other sources
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  • 99
    ISBN: 9781669380719
    Language: English
    Pages: 1 online resource (21 pages)
    DDC: 305.89607307526
    Keywords: African Americans ; African Americans--Biography ; African Americans--Biography--Juvenile literature ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6 -- Insights from Chapter 7 -- Insights from Chapter 8 -- Insights from Chapter 9.
    Note: Description based on publisher supplied metadata and other sources
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  • 100
    Online Resource
    Online Resource
    US : IRB
    ISBN: 9781669354161
    Language: English
    Pages: 1 online resource (24 pages)
    DDC: 306.44
    Keywords: Cults ; Group identity ; Identity (Psychology) ; Electronic books
    Abstract: Intro -- Insights from Chapter 1 -- Insights from Chapter 2 -- Insights from Chapter 3 -- Insights from Chapter 4 -- Insights from Chapter 5 -- Insights from Chapter 6.
    Note: Description based on publisher supplied metadata and other sources
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