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  • 加国大学 / U.Waterloo / Mathematical Foundations of Machine Learning Mathematical Foundations of Machine Learning

    今天登陆到公司的学习网站,发现标题的讲座有不少人订了。我也enroll了一下,看到内容有下面这些。滑大选课应该都能学到。

    1. Linear Algebra Data Structures

    2. Tensor Operations

    3. Matrix Properties

    4. Eigenvectors and Eigenvalues

    5. Matrix Operations for Machine Learning

    6. Limits

    7. Derivatives and Differentiation

    8. Automatic Differentiation

    9. Partial-Derivative Calculus

    10. Integral Calculus

    • 线代,微积分
      • 这个讲座是比较基础的