Do you need Math for Machine Learning? If YES, what part of math do you need? #MathsforML

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🔵🔵COMPLETE COURSE
👉 Mathematics for Machine Learning Specialization by Imperial College London [VIDEO]

🔵🔵BOOK

🔵🔵LINEAR ALGEBRA:
👉 Linear Algebra Review and Reference

🔵🔵CALCULUS:

🔵🔵 STATISTICS:
👉 Seeing Theory: A visual introduction to probability and statistics [MUST WATCH] 🔥
👉 Introduction to Statistics by Stanford University [VIDEO]

🔵🔵PROBABILITY:
👉 Seeing Theory: A visual introduction to probability and statistics [MUST WATCH] 🔥

If you have any suggestions for courses that should be included in the list above, comment below. 👇
  1. Machine Learning with Harsh
  2. machine learning
  3. linear algebra
  4. Matrix
  5. deep learning
  6. statistics
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Комментарии
Автор

Thanks a lot for the resources and links

travelthetropics
Автор

Bro where should I apply these concepts because if i am learning linear algebra where i will apply these concepts practically. Isn't there way to learn math by applying like project based learning or something related to it. Also seeing theory & book links are broken.

pratham