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

 




"AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence" is a book written by Laurence Moroney. Based on his popular AI courses, it's designed as an introductory guide for programmers looking to transition into the field of Artificial Intelligence (AI) and Machine Learning (ML).

Here's a summary of what the book offers:

  • Code-First Approach: The book emphasizes practical learning by directly working with code, making it accessible for programmers who prefer a hands-on approach over heavy theoretical mathematics.
  • Key ML Scenarios: It covers the implementation of common machine learning scenarios, including:
    • Computer Vision: Techniques for image recognition and feature detection.
    • Natural Language Processing (NLP): Methods for processing and understanding text, including tokenization and sequence modeling.
    • Sequence Modeling: Dealing with data that has a temporal order.
  • TensorFlow Focus: The book teaches how to build AI models using TensorFlow, a widely adopted open-source machine learning framework.
  • Cross-Platform Implementation: It explores how to embed these models in various environments, including:
    • Web applications
    • Mobile applications (Android and iOS)
    • Cloud platforms
    • Embedded systems
  • Deployment Strategies: The book also covers how to serve trained models over the web and in the cloud using TensorFlow Serving.
  • Ethical Considerations: It touches upon important topics like AI ethics, fairness, and privacy.

Key Takeaways for Programmers:

  • Practical Skills: The book aims to equip programmers with practical skills in building and deploying AI and ML models.
  • Reduced Math Barrier: It focuses on the "how-to" aspects, minimizing the initial need for advanced mathematical knowledge.
  • Career Transition: It serves as a starting point for programmers aiming to move into AI specialist roles.

Availability:

The book is available in paperback, Kindle, and audiobook formats through various online retailers like Amazon and Flipkart. There's also a grayscale Indian edition available.



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