* Comprehensive: Dean's Book covers a wide range of topics, from basic concepts to advanced techniques.
* Well-written: The book is clearly written and easy to understand, even for beginners.
* Examples and exercises: Each chapter includes examples and exercises to help you reinforce your understanding of the material.
* Supplements: The book comes with a companion website that offers additional resources, such as lecture slides and practice exams.
Cons:
* Expensive: The book is relatively expensive, and may not be affordable for some students.
* Not very comprehensive: While the book is comprehensive, it does not cover every topic in depth. Some topics may be covered only briefly.
* Outdated: The book was published in 2012, and some of the information may be outdated.
Overall:
Dean's Book is a valuable resource for students who are studying machine learning. However, it is important to weigh the pros and cons before making a decision about whether or not to purchase the book.