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Applied Machine Learning and AI for Engineers by Jeff Prosise 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. 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.
Here are some additional tips for deciding:
Check the Table of Contents: Most bookstores or online retailers will allow you to preview the table of contents. This can give you a better idea of the specific topics covered and the level of detail provided.
Read Reviews: See if there are any online reviews of the book from other engineers or programmers. This can give you insights into the book's strengths and weaknesses and how it met the needs of other readers.
Consider Your Goals: Reflect on what you want to achieve with your ML and AI learning journey. If you need a practical guide to get started with applying these concepts in your engineering projects, this book could be a good fit.
