what math is needed for machine learning? | math for early ML engineers
Sometimes it's hard to know what math is needed for machine learning. Today we’re breaking down the basic math that you need to know to understand machine learning. This will include algebra (linear and matrix), calculus, and probability.
There’s so much more to learn, but this can def get you started with ML!
#fancyfueko #linearregression #backpropagation
Introduction (0:00)
Algebra (1:09)
Calculus (4:26)
Probability (7:15)
Recap and Conclusion (9:23)
Related Videos + Subscribe (10:27)
Code for this Video:
https://colab.research.google.com/dri...
Useful Resources:
Math for Machine Learning Textbook
https://mml-book.github.io/book/mml-b...
Stanford CS229 Linear Algebra Review
https://cs229.stanford.edu/section/cs...
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