Advance Linear Algebra Textbook Recommendations

Question

Does anyone know of a good textbook that covers the following topics: linear regression, ridge regression, lasso regression, principal component analysis, multi dimensional scaling, perceptron, support vector machine, spines, kernel methods, and concentration of measure.

I am a first year graduate student and with classes all online, I'm struggling to understand all of the concepts from the online lectures alone. Also, the course does not have a textbook, otherwise I would begin by turning to the textbook to better my understanding.

Any recommendations would be greatly appreciated.

Thanks!

Answer 1

What you are looking for is a textbook on Statistical Learning or Machine Learning.

An excellent book is An Introduction to Statistical Learning (ISLR) (which is by far the best book for beginners).

After finishing ISLR you can consider either Pattern Recognition and Machine Learning (PRML) or The Elements of Statistical Learning (ESL) for a more comprehensive coverage.

All the 3 books are freely available for download.

Answer 2

Introduction to Computational Linear Algebra by Nabil Nassif is a fantastic book