MATHEMATICS FOR MACHINE LEARNING
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Description
Review: Great building block - This is a very structured approach to gain a strong grasp of the mathematical fundamentals required for machine learning. If you pair this up with "Understanding Machile Learning: From Theory to Algorithms" by Shai Ben-David and Shai Shalev Shwartz, then that's a clear winner combo for ML theory. Review: Color print with good size and quality - Do not hesitate this is really good book with quality and. Color print.
Specifications
| Best Sellers Rank | #6,051 in Books ( See Top 100 in Books ) #11 in Engineering & Technology (Books) #20 in Computer Science Books |
| Customer Reviews | 4.6 out of 5 stars 1,002 Reviews |
Reviews
S**S
Great building block
This is a very structured approach to gain a strong grasp of the mathematical fundamentals required for machine learning. If you pair this up with "Understanding Machile Learning: From Theory to Algorithms" by Shai Ben-David and Shai Shalev Shwartz, then that's a clear winner combo for ML theory.
S**K
Color print with good size and quality
Do not hesitate this is really good book with quality and. Color print.
A**Y
Great
Best books and quality is very good
V**N
Not beginner friendly
The authors assumed a certain degree of mathematical knowledge the reader's part. I would recommend it to someone whose mathetical proficiency is lukewarm at best. You'd be better off taking online course and then using this as a reference instead of making this your go to resource.
H**H
Mathematics for Machine Learning
It's a great book for learning maths for ML , Esay to understand, good build quality
S**E
Excellent....Quality....
Genuine original book, this book needs 10+2 mathematics so if your basics are not that good , you'll have hard times reading this
R**A
Best book for ml maths
Recieved the book in very good condition.
S**P
Good quality purchase
The overall quality and the quality of the pages is really good and recieved the colored version , some other reviews state that they recieved colorless versions.
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