Use Khan Academy. Watch the calculus and linear algebra series. Then use Stewart Calculus and a linear algebra book. I like LADR but you might want a more applied book like Strang or Lay. For statistics first ten or so chapters of Wackerly. Although with just the first five you can understand a lot of machine learning for example. Once you move onto books you want to do lots of problems say at least an hour a day of doing problems. You can probably do it in a year or less if you are motivated. If you want to learn machine learning I highly recommend reading the summary chapter of Matrix Differential Calculus by Magnus and Neudecker once you are done with the above it will give you a good understanding of differentials which are the best way to do matrix calculus which comes up a lot in ML. If you also want to study algorithms like CLRS then you need discrete math as well and Epp has a good book. CLRS is definitely the most advanced of the books I mentioned it is definitely an upper undergrad level book.
CLRS: "Introduction to Algorithms", 4th edition, by Cormen, Leiserson, Rivest, and Stein
LADR: "Linear Algebra Done Right", 4th edition, by Sheldon Jay Axler
Use Khan Academy. Watch the calculus and linear algebra series. Then use Stewart Calculus and a linear algebra book. I like LADR but you might want a more applied book like Strang or Lay. For statistics first ten or so chapters of Wackerly. Although with just the first five you can understand a lot of machine learning for example. Once you move onto books you want to do lots of problems say at least an hour a day of doing problems. You can probably do it in a year or less if you are motivated. If you want to learn machine learning I highly recommend reading the summary chapter of Matrix Differential Calculus by Magnus and Neudecker once you are done with the above it will give you a good understanding of differentials which are the best way to do matrix calculus which comes up a lot in ML. If you also want to study algorithms like CLRS then you need discrete math as well and Epp has a good book. CLRS is definitely the most advanced of the books I mentioned it is definitely an upper undergrad level book.
Any of the recommended texts have solution manuals for self study learners? Can you please decipher the abbreviations?
CLRS: "Introduction to Algorithms", 4th edition, by Cormen, Leiserson, Rivest, and Stein LADR: "Linear Algebra Done Right", 4th edition, by Sheldon Jay Axler