黃哥Python提示想從事數據挖掘、機器學習的補補數學

機器學習數學基礎

• Math for Machine Learning (ucsc.edu)
• Math for Machine Learning (UMIACS CMSC422)

線性代數

• An Intuitive Guide to Linear Algebra (betterexplained.com)
• A Programmer』s Intuition for Matrix Multiplication (betterexplained.com)
• Understanding the Cross Product (betterexplained.com)
• Understanding the Dot Product (betterexplained.com)
• Linear Algebra for Machine Learning (U. of Buffalo CSE574)
• Linear algebra cheat sheet for deep learning (medium.com)
• Linear Algebra Review and Reference (Stanford CS229)

概率論

• Understanding Bayes Theorem With Ratios (betterexplained.com)
• Review of Probability Theory (Stanford CS229)
• Probability Theory Review for Machine Learning (Stanford CS229)
• Probability Theory (U. of Buffalo CSE574)
• Probability Theory for Machine Learning (U. of Toronto CSC411)

微積分

• How To Understand Derivatives: The Quotient Rule, Exponents, and Logarithms (betterexplained.com)
• How To Understand Derivatives: The Product, Power & Chain Rules (betterexplained.com)
• Vector Calculus: Understanding the Gradient (betterexplained.com)
• Differential Calculus (Stanford CS224n)
• Calculus Overview (readthedocs.io)

轉載自 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Funsupervisedmethods.com%2Fover-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78

部分免費python免費視頻

https://github.com/pythonpeixun/article/blob/master/python_shiping.md

216小時學會python

https://github.com/pythonpeixun/article/blob/master/python/hours_216.md

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