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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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  • A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of AI - George Newbern
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    Max Bennett and George Newbern
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  • Python ML : Clear Step-by-Step Guide to Ma-chine Learning with Python - Alex Campbell
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  • Ethical Machines : Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI - Reid Blackman
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  • The Digital Mindset : What It Really Takes to Thrive in the Age of Data, Algorithms, and AI - Paul Leonardi
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    Paul Leonardi, Tsedal Neeley and Emmanuel Chumaceiro
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  • Data Engineering Design Patterns : Recipes for Solving the Most Common Data Engineering Problems - Bartosz Konieczny
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    Bartosz Konieczny and Charles Constant
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  • Modern AI Development : Strategies for Implementing Smart Technology Today - Sutton Hayes
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  • Data and Analytics : Unlocking the Power of Data (4 in 1) - Craig Dames
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    Craig Dames and Digital Voice Archie G
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  • Data Insights : The Science of Data Analysis - Lexa N. Palmer
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    Lexa N. Palmer and Digital Voice Martin G
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  • LangGraph : A comprehensive guide to building LLM agent-based AI systems with LangGraph - Et Tu Code
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    Et Tu Code and Helen Green
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  • Science of Computing, The : Algorithms and Data Structures - Craig Dames
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    Craig Dames and Marsha Eves
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  • Building AI-Powered Products : The Essential Guide to AI and GenAI Product Management - Dr. Marily Nika
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    Dr. Marily Nika and Cara Firestone
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  • Generative AI on AWS : Building Context-Aware Multimodal Reasoning Applications - Antje Barth
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    Antje Barth, Chris Fregly, Shelbee Eigenbrode and Jennifer Walden
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  • Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh - James Serra
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    James Serra and Tom Beyer
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  • Generative Deep Learning : Teaching Machines To Paint, Write, Compose, and Play (2nd Edition) - David Foster
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    David Foster and Mike Cooper
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  • Software Engineering for Data Scientists : From Notebooks to Scalable Systems - Catherine Nelson
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    Catherine Nelson and Teri Schnaubelt
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    Steven Essany and Digital Voice Maxwell G
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  • Azure AI Fundamentals (AI-900) Study Guide : In-Depth Exam Prep and Practice - Tom Taulli
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    Tom Taulli and Tristan Morris
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  • AI Value Creators : Beyond the Generative AI User Mindset - Rob Thomas
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    Rob Thomas, Paul Zikopoulos, Kate Soule and Tom Parks
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  • Hands-On Large Language Models : Language Understanding and Generation - Jay Alammar
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    Jay Alammar, Maarten Grootendorst and Derek Shoales
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  • Learning Microsoft Power Apps : Building Business Applications with Low-Code Technology - Arpit Shrivastava
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    Arpit Shrivastava and Jonathan Yen
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  • Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications - Chip Huyen
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    Chip Huyen and Kathleen Li
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  • Prompt Engineering for Generative AI : Future-Proof Inputs for Reliable AI Outputs - James Phoenix
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    James Phoenix, Mike Taylor and Mike Chamberlain
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  • The Developer's Playbook for Large Language Model Security : Building Secure AI Applications - Steve Wilson
    The Developer's Playbook for Large Language Model Security
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    Steve Wilson and Jonathan Yen
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  • Reinforcement Learning : A comprehensive guide to reinforcement learning, from fundamental concepts to advanced algorithms and applications - Et Tu Code
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    Et Tu Code and Helen Green
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  • LLMOps : A Comprehensive Guide to Deploying, Managing, and Optimizing Large Language Models - Et Tu Code
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    Et Tu Code and Helen Green
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  • Adaptive Computing : Designing Systems that Evolve with Change - James Henry
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    James Henry and Rayan Mitchell
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    Ben Rizer and Sam Finley
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    Ben Rizer and Sam Finley
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  • AI Unleashed: A Global Transformation : Exploring the Profound Impact of Artificial Intelligence on Systems Worldwide - Olivia Quinn
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    Olivia Quinn
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  • Machine Learning (ML) Guide : An Extensive Exploration of Key Concepts, Data Handling, Model Building, and Application Scenarios - May Sherry
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    May Sherry and Sam Finley
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  • Art of Machine Learning, The : Algorithms and Applications - Craig Dames
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    Craig Dames and Marsha Eves
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  • Federated Learning : Privacy-Preserving Machine Learning in the Decentralized Age - Mark Jackson
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    Mark Jackson and Rayan Mitchell
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  • Microsoft 365 All-in-one Guide : Understanding and deploying Microsoft 365 applications, PowerShell, and Power Automate - Pranjali Vaidya Bramhe
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    Pranjali Vaidya Bramhe and Digital Voice Madison G
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  • Securing the Digital Frontier : Advanced Frameworks for Social Media and IoT Threats - Akashdeep Bhardwaj
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    Akashdeep Bhardwaj and Digital Voice Madison G
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  • AWS Certified ML Specialty Guide : Navigating the AWS Certified Machine Learning - Specialty Exam From Novice to Expert - Arun Arunachalam
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  • Architecting Data Solutions with Snowflake : Design scalable, cloud-native data platforms for analytics, warehousing, and beyond - Pooja Kelgaonkar
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    Pooja Kelgaonkar and Digital Voice Madison G
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    Hannah Fry
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  • SMALL TEACHING ONLINE : The Learning Science Applied to Online Classes with Effective Strategies to Teach Anything to Anyone - SARA DARBY
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    Andrew Hinton and Digital Voice Mike G
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  • How to Learn Faster : 7 Easy Steps to Master Accelerated Learning Techniques, Learning Strategies & Fast Self-learning - Troye Bates
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