Lack of math knowledge won't limit much as a practitioner, but will definitely make it harder for you to understand what is going on.
Luckily, the math involved is not so difficult. For deep learning specifically you should be comfortable with linear algebra and multivariate calculus, and for machine learning in general you should be familiar with probabilistic thinking.
"Mathematics for machine learning" [1] is a good introduction to these topics.
Comments
Lack of math knowledge won't limit much as a practitioner, but will definitely make it harder for you to understand what is going on.
Luckily, the math involved is not so difficult. For deep learning specifically you should be comfortable with linear algebra and multivariate calculus, and for machine learning in general you should be familiar with probabilistic thinking.
"Mathematics for machine learning" [1] is a good introduction to these topics.
[1] https://mml-book.github.io/
Any solutions manual for this?
Yes, but it does not look easy to obtain: https://www.cambridge.org/highereducation/books/mathematics-...
I'm really sick of that.