In my undergraduate course I learnt introductory level statistics and I really enjoyed it. With that background I decided to follow predictive analysis further and decided to take up this book . But I am really struggling with this as the math and probability part seems beyond my reach at the moment.
I am well aware with undergraduate level linear algebra (vector space, decomposition, linear transformation etc), undergraduate level probability and statistics ( one dimensional random variables, one dimensional parameter estimates, simple hypothesis testing, model verification on 1-D data etc), and introductory calculus (scalar valued and up to 3 variables).
I have been jumping on different books and resources to progress further but every time comes a new requirement while learning. (For example: topology while learning calculus on manifolds, optimization while learning classifications). I feel like I am going nowhere and just wasting time.
I hope someone will guide me with a strategy (books and resources and the order I should follow them in) for smooth transition from my now possessed knowledge to the level where I can finish the mentioned book with a thorough understanding and will be able to deal with exercises as well.
Thank you in advance!