Top machine learning and data mining books
Top machine learning and data mining books-in this review, we collected various elements from 100 machine learning and data mining books (such as online reviews / ratings, topics covered, author authority in the industry, price, etc.). We use these elements to calculate the quality score of each book and list some machine language / data mining / natural language processing books that individuals have read.
Buyers will like our list because it is based on data processing and is very objective. Readers should note that all the books listed here are excellent books selected from 100 books on sale, of extremely high quality. Let's look at the list:
1. Introduction to Statistical Learning: application in R
61.36 US dollars
Quality score: 10 Universe 10
The book has a high ranking on Amazon and was written by three professors from the University of Southern California, Stanford University and the University of Washington. The three authors: Gareth James, Daniela Witten and Trevor Hasti all have academic backgrounds in data statistics. This book is more operational than the example presented in R in Statistical Learning fundamentals.
two。 Statistical Learning elements: data Mining, reasoning and Prediction, second Edition
62 dollars
Quality score: 9excel 10
This is a book that ranks well on Amazon and is written by three statistics professors at Stanford University. The first author is Trevor Hasti, who has a background in statistics and biostatistics. An interesting thing about this book is that the author looks at machine learning from a statistical point of view. This book seems to be more theoretical, so some readers may choose to rule it out!
3. Pattern recognition and machine learning
Sixty dollars
Quality score: 8excel 10
