How to learn Mathematics for Machine Learning?Is the following path (with the following books) the correct way to learn Mathematics for Machine Learning? 0. Pre-algebra (Pre-Algebra Essentials For Dummies by Mark Zegarelli, Krista Fanning)College Algebra (Schaum’s Outline of College Algebra by Robert E. Moyer, Murray R. Spiegel)Pre-calculus (Schaum’s Outline of Precalculus by Fred Safier)Calculus (Schaums Outline of Calculus by Frank Ayres, Elliott Mendelson)Differential Equations (Schaum’s Outline of Differential Equations by Richard Bronson, Gabriel B. Costa)Discrete Mathematical Structures (Schaums Outline of Discrete Mathematics by Seymour Lipschutz, Marc Lipson)Linear Algebra (Introduction to Linear Algebra by Gilbert Strang)Statistics and Probability (Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, Peter Gedeck)Here's the lengthier version of my query. I was never bad with studies, however, I got bad grades and just passed my college because of some personal issues. I have been working since then in jobs which didn't require much mathematics.I have switched careers now and I am working as a Machine Learning Engineer now. I did a course in Machine Learning but skipped the mathematics part. I want to study mathematics now, not just because it is required at work, but because I was always fascinated by mathematics. The issue is, I put in 60 hours a week in office. I take out time to study after work. So I want to know if these books would actually help me understand the mathematics behind Machine Learning, or these will not cover it? Thank you for reading through this, any suggestion/help is highly appreciated.How to learn Mathematics for Machine Learning?

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How to learn Mathematics for Machine Learning?Is the following path (with the following books) the correct way to learn Mathematics for Machine Learning? 0. Pre-algebra (Pre-Algebra Essentials For Dummies by Mark Zegarelli, Krista Fanning)College Algebra (Schaum’s Outline of College Algebra by Robert E. Moyer, Murray R. Spiegel)Pre-calculus (Schaum’s Outline of Precalculus by Fred Safier)Calculus (Schaums Outline of Calculus by Frank Ayres, Elliott Mendelson)Differential Equations (Schaum’s Outline of Differential Equations by Richard Bronson, Gabriel B. Costa)Discrete Mathematical Structures (Schaums Outline of Discrete Mathematics by Seymour Lipschutz, Marc Lipson)Linear Algebra (Introduction to Linear Algebra by Gilbert Strang)Statistics and Probability (Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, Peter Gedeck)Here&#039;s the lengthier version of my query. I was never bad with studies, however, I got bad grades and just passed my college because of some personal issues. I have been working since then in jobs which didn&#039;t require much mathematics.I have switched careers now and I am working as a Machine Learning Engineer now. I did a course in Machine Learning but skipped the mathematics part. I want to study mathematics now, not just because it is required at work, but because I was always fascinated by mathematics. The issue is, I put in 60 hours a week in office. I take out time to study after work. So I want to know if these books would actually help me understand the mathematics behind Machine Learning, or these will not cover it? Thank you for reading through this, any suggestion/help is highly appreciated.How to learn Mathematics for Machine Learning?

noruegezajl00y · Accepted Answer

I would probably switch &#039;Differential Equations&#039; with a book on optimization theory. I haven&#039;t read any of the books you mention, but judging from the titles they seem to be highly relevant.I would also like to recommend the following (free) book, which seems to be just what you are looking for. Mathematics for Machine Learning.https://mml-book.github.io/It covers a lot of the topics you mention and it also has a section in every chapter with recommended further readings.

How to learn Mathematics for Machine Learning? Is the following path (with the following books) the

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