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AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Süre
9sa 17dk
Dil
İngilizce
Format
Kategori

Kurgu Dışı

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.

You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving.

© 2023 Ascent Audio (Sesli Kitap): 9781663721365

Yayın tarihi

Sesli Kitap: 24 Ocak 2023

Etiketler

Bunları da beğenebilirsin...

  1. The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity Byron Reese
  2. AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Jenny Plunkett
  3. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
  4. Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
  5. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Karim R. Lakhani
  6. The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
  7. Data Science John D. Kelleher
  8. Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python Sofien Kaabar
  9. A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI Max Bennett
  10. Learning Systems Thinking: Essential Non-Linear Skills and Practices for Software Professionals Diana Montalion
  11. The Kaggle Book: Data analysis and machine learning for competitive data science Luca Massaron
  12. Working with AI Thomas H. Davenport
  13. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost
  14. Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
  15. Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
  16. Thinking Better: The Art of the Shortcut Marcus du Sautoy
  17. Fundamentals of Software Architecture: An Engineering Approach Neal Ford
  18. Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson
  19. The Hitchhiker's Guide to the Galaxy: The 42nd Anniversary Edition of Douglas Adams's International Bestseller Douglas Adams
  20. The Deep Learning Revolution Terrence J. Sejnowski
  21. Computational Thinking Peter J. Denning
  22. 97 Principles for Software Architects: Axioms for software architecture and development written by industry practitioners Multiple Authors
  23. The AI Delusion Gary Smith
  24. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Seth Stephens-Davidowitz
  25. Coders at Work: Reflections on the Craft of Programming Peter Seibel
  26. Artificial Intelligence For Dummies Luca Massaron
  27. How Smart Machines Think Sean Gerrish
  28. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Kate Crawford
  29. The Clean Coder: A Code of Conduct for Professional Programmers Robert C. Martin
  30. Docker Essentials: Simplifying containerization : A Beginner's Guide Mike Wilson
  31. Algorithms Panos Louridas
  32. Building Microservices: Designing Fine-Grained Systems Sam Newman
  33. Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck
  34. Power and Prediction: The Disruptive Economics of Artificial Intelligence Joshua Gans
  35. Clean Code: A Handbook of Agile Software Craftsmanship Robert C. Martin
  36. Life on the Edge - The Coming of Age of Quantum Biology Johnjoe McFadden
  37. Data Science For Dummies: 2nd Edition Lillian Pierson
  38. Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Sam Newman
  39. Human Universe Professor Brian Cox
  40. Homo Deus: A Brief History of Tomorrow Yuval Noah Harari
  41. On the Future: Prospects for Humanity Martin Rees

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