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斯坦福机器学习课程目录

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- Week 1
  - Introduction
    - Supervised Learning
    - Unsupervised Learning
  - Linear Regression with One Variable
    - Model and Cost Function
      - Model Representation
      - Cost Function
    - Parameter Learning
      - Gradient Descent
      - Gradient Descent for Linear Regression
- Week 2
  - Multivariate Linear Regression
    - Multiple Features
    - Gradient Descent for Multiple Variables
    - Feature Scaling
    - Learning Rate
    - Features and Polynomial Regression
  - Computing Parameters Analytically
    - Normal Equation
    - Normal Equation Noninvertibility
- Week 3

Week 1

Introduction

Supervised Learning

Unsupervised Learning

Linear Regression with One Variable

Model and Cost Function

Model Representation

Cost Function

Parameter Learning

Gradient Descent

Gradient Descent for Linear Regression

Week 2

Multivariate Linear Regression

Multiple Features

Gradient Descent for Multiple Variables

Feature Scaling

Learning Rate

Features and Polynomial Regression

Computing Parameters Analytically

Normal Equation

Normal Equation Noninvertibility

Week 3

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