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  1. Machine Learning and Predictive Modeling: Turning Data into Action Chuck Sherman
    3
  2. Machine Learning Made Simple: A Practical Introduction: Building Intelligent Algorithms from Scratch Daniel Lee
  3. Quantum Machine Learning for Beginners: Exploring Quantum Machine Learning from Scratch Chuck Sherman
    1.5
  4. Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems Chuck Sherman
  5. HBR's 10 Must Reads on Data Strategy Harvard Business Review
    4
  6. AI Development for the Modern World: Innovations and Applications: Transforming Industries with Artificial Intelligence and Machine Learning Ava Brooks
  7. Python Machine Learning for Beginners: Unlocking the Power of Data. A Beginner's Guide to Machine Learning with Python Daniel Garfield
  8. Learning to Flourish in the Age of AI Stephen M. Kosslyn
  9. AI Engineering: Building Applications with Foundation Models Chip Huyen
    5
  10. Mastering Algorithms and Data Structures Manish Soni
  11. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs Mike Taylor
  12. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Chip Huyen
    5
  13. The Developer's Playbook for Large Language Model Security: Building Secure AI Applications Steve Wilson
  14. Reinforcement Learning: A comprehensive guide to reinforcement learning, from fundamental concepts to advanced algorithms and applications Et Tu Code
  15. LLMOps: A Comprehensive Guide to Deploying, Managing, and Optimizing Large Language Models Et Tu Code
  16. Adaptive Computing: Designing Systems that Evolve with Change James Henry
  17. Trading at the Speed of Light: How Ultrafast Algorithms Are Transforming Financial Markets Donald MacKenzie
    4.5
  18. Federated Learning: Unleashing the Power of Quantum Computing in Artificial Intelligence Ben Rizer
  19. Introduction to Machine Learning for Big Data: Building Intelligent Systems to Transform Data into Knowledge Ben Rizer
  20. Programming for Beginners: Coding Essentials Craig Dames
  21. AI Unleashed: A Global Transformation: Exploring the Profound Impact of Artificial Intelligence on Systems Worldwide Olivia Quinn
  22. Machine Learning (ML) Guide: An Extensive Exploration of Key Concepts, Data Handling, Model Building, and Application Scenarios May Sherry
  23. The Art of Machine Learning: Algorithms and Applications Craig Dames
  24. Federated Learning: Privacy-Preserving Machine Learning in the Decentralized Age Mark Jackson
  25. The Science of Computing: Algorithms and Data Structures Craig Dames
  26. Information Vs Data: Information Value Chain Ira Warren Whiteside
  27. Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh James Serra
  28. Software Engineering for Data Scientists: From Notebooks to Scalable Systems Catherine Nelson
    3
  29. Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play (2nd Edition) David Foster
  30. Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management Dr. Marily Nika
    3.5
  31. Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications Chris Fregly
  32. Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System Patrick K. Lin
  33. Hands-On Large Language Models: Language Understanding and Generation Jay Alammar
  34. Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice Tom Taulli
  35. AI Value Creators: Beyond the Generative AI User Mindset Rob Thomas
  36. Learning Microsoft Power Apps: Building Business Applications with Low-Code Technology Arpit Shrivastava
  37. How to Speak Whale: A Voyage into the Future of Animal Communication Tom Mustill
    4.8
  38. Modern AI Development: Strategies for Implementing Smart Technology Today Sutton Hayes
  39. Algorithms: From Basic Concepts to Complex Solutions Rama Nolan
  40. LangGraph: A comprehensive guide to building LLM agent-based AI systems with LangGraph Et Tu Code
  41. Algorithms: Discover The Computer Science and Artificial Intelligence Used to Solve Everyday Human Problems, Optimize Habits, Learn Anything and Organize Your Life Trust Genics
    1.7
  42. LLMs and Generative AI for Healthcare: The Next Frontier Manish Mathur
  43. AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment Tom Taulli
  44. Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Gwendolyn Stripling
  45. The Emergent Mind: How Intelligence Arises in People and Machines Gaurav Suri
  46. Machine learning Bright Mills
  47. Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems Bartosz Konieczny
  48. SMALL TEACHING ONLINE: The Learning Science Applied to Online Classes with Effective Strategies to Teach Anything to Anyone SARA DARBY
  49. IGNOU MCA Design and Analysis of Algorithms Previous Years Unsolved Papers MCS 211 Manish Soni
  50. System Error: Where Big Tech Went Wrong and How We Can Reboot Rob Reich
    3.8
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