Home > MOOCs > Intelligent-Technology Mathematics > Continuous Mathematical Methods with an Emphasis on Machine Learning

Although motivated from the standpoint of machine learning, the course will focus on the underlying mathematical methods including computational linear algebra and optimization, as well as special topics such as automatic differentiation via backward propagation, momentum methods from ordinary differential equations, CNNs, RNNs.

**Topics include:**

Computational linear algebra and optimization

Automatic differentiation via backward propagation

Momentum methods from ordinary differential equations

Conjugate gradient method

Ordinary and partial differential equations

Vector and tensor calculus

Convolutional neural networks

Interested Students

**Type：**Intelligent-Technology Mathematics **Provider：**StanfordOnline **University：**Stanford **Language：**English **By Teachers：**unknow **Time：**unknow

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