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Coding with AI For Dummies by Chris Minnick is a valuable resource for engineers and software developers who want to gain a practical understanding of machine learning (ML) and artificial intelligence (AI) concepts and apply them to solve real-world problems. Here's a breakdown of its potential benefits and drawbacks to help you decide if it's the right book for you:

Potential Benefits:

Focus on Practical Application: The book is geared towards engineers, emphasizing how to apply ML and AI techniques to solve real-world problems.
Minimal Math Focus: It reportedly uses minimal calculus or complex mathematical equations, making it accessible to those with a programming background but limited math experience.
Hands-on Approach: The book includes code samples and exercises, allowing you to learn by doing and experiment with the concepts covered.
Covers Popular Tools and Libraries: You'll gain exposure to popular Python libraries like Scikit-learn and TensorFlow for building ML models and neural networks.
Drawbacks to Consider:

Limited Depth: Since it avoids heavy math, the book might not delve into the theoretical underpinnings of ML algorithms in great detail.
Beginner Level: If you already have some foundational knowledge of ML and AI, the book might be more introductory than you need.
Alternatives: There are other books and online resources available that might offer a deeper theoretical understanding, cover a broader range of topics, or cater to different learning styles.

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