In this video, we talk about how much math you will need for machine learning. It is a lot less than many will make you believe. I will cover the essential statistics, linear algebra, and calculus and courses where you can learn them if needed. Additionally, I will share my approach and favorite lookup book for all other questions. Finally, I reveal how much Mathematics I use in my daily life as a Machine Learning Engineer.
Resources Mentioned:
Mathematics for Machine Learning, book: [ Ссылка ]
Statistics course Stanford: [ Ссылка ]
Linear Algebra: [ Ссылка ]
If you enjoyed this video, I would be excited to connect on Twitter or LinkedIn.
Twitter: [ Ссылка ]
LinkedIn: [ Ссылка ]
Medium: [ Ссылка ]
Intro: 0:00
Why Know Math in ML: 2:49
Favorite Book: 3:56
Statistics and Probability: 4:38
Linear Algebra: 6:38
Calculus/Analysis: 8:19
All Other Math: 9:00
how much math do you NEED for machine learning?
Теги
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