Mathematics for Machine Learning [pdf]
mml-book.com
Mathematics for Machine Learning [pdf]
1–10 of 26 posts
Re: Mathematics for Machine Learning [pdf]
#2Previous discussion from April 2018: https://news.ycombinator.com/item?id=16750789
Re: Mathematics for Machine Learning [pdf]
#3I am taking CS 236 (Deep Generative Models) at Stanford and this course really helped me a lot in reviewing the math I needed for the class. This is because the chapters focus on the concepts and ideas you should know, so you don't have to waste time learning everything there is to know about linear algebra and convex optimization, but the essentials for machine learning.
Re: Mathematics for Machine Learning [pdf]
#4Id be useful to have a "math for programmers book" that uses pseudo code instead of math notation. I studied math notation in 8th grade and then forgot about it.
Re: Mathematics for Machine Learning [pdf]
#5Id be useful to have a "math for programmers book" that uses pseudo code instead of math notation. I studied math notation in 8th grade and then forgot about it.
This book (Data Science Bookcamp) uses actual Python code instead of math notation. https://www.manning.com/books/data-science-bookcamp
Re: Mathematics for Machine Learning [pdf]
#6Id be useful to have a "math for programmers book" that uses pseudo code instead of math notation. I studied math notation in 8th grade and then forgot about it.
"Coding the matrix" was the breakthrough for me in grokking linear algebra, and this is what it does. Things are explained in terms of matrices and the mathematical transformations, and then explained in terms of python data structures and a loop over the elements. And most of the examples are computer science, like rotating images.
Re: Mathematics for Machine Learning [pdf]
#7Id be useful to have a "math for programmers book" that uses pseudo code instead of math notation. I studied math notation in 8th grade and then forgot about it.
"Coding the matrix" was the breakthrough for me in grokking linear algebra, and this is what it does. Things are explained in terms of matrices and the mathematical transformations, and then explained in terms of python data structures and a loop over the elements. And most of the examples are computer science, like rotating images.
I remember this course when it first came out, but didn't go through it since I didn't actually know how to program/code back then. Should I just buy the paperback off Amazon?
Re: Mathematics for Machine Learning [pdf]
#8How would you compare this book to the first part of "Deep Learning" book (by Ian Goodfellow, Yoshua Bengio, and Aaron Courville)? https://www.amazon.com/gp/product/0262035618
Re: Mathematics for Machine Learning [pdf]
#9Id be useful to have a "math for programmers book" that uses pseudo code instead of math notation. I studied math notation in 8th grade and then forgot about it.
Here's a start https://github.com/Jam3/math-as-code
Re: Mathematics for Machine Learning [pdf]
#10How would you compare this book to the first part of "Deep Learning" book (by Ian Goodfellow, Yoshua Bengio, and Aaron Courville)? https://www.amazon.com/gp/product/0262035618
I feel obligated to interject here as I have not read the book OP linked to but I have attempted to read the paper weight calling itself a book that you linked to.
I have it right here actually. It's basically total trash. They claim to show you how to do the math but at the very best all they do is restate random formulas without any explanation. It's not even good enough to serve as a refresher if you know the math. It relies very heavily on you mentally decompiling mathematical notation. I can't believe I got fooled into buying that book.
If you just want to learn the math there's no easier way than to pick up some math books from half price books. They're $10 a pop. It's an affordable way to learn at your own pace.