Study Notes (57): Chapter 1: machine learning - Machine learning of knowledge introduced 03

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1. What knowledge machine learning needs:

Hacking Skills (programming capacity) + Math & Statistics Knowledge (Mathematics and Statistics, Knowledge) + Substantive Expertise (operational capacity) = Data Science

2. The basic concepts of machine learning

1) Calculus: Taylor, reciprocal and gradient

2) the basis of probability and statistics: probability formula, common distribution, common statistics

3) Linear algebra: geometric significance of matrix multiplication

If the child _wj

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