【李宏毅机器学习】1-机器学习介绍

机器学习介绍

  • What is Machine Learning
    • Machine Learning ≈ Looking for a Function From Data
    • Framework
      • Training
      • Testing
  • Learning Map
    • Task
      • Regression
      • Classification
    • Model
      • Supervised Learning
      • Semi-supervised Learning
      • Transfer Learning
      • Unsupervised Learning
      • Stuctured Learning
      • Reinforcement Learning

【李宏毅机器学习】1-机器学习介绍_第1张图片

What is Machine Learning

Machine Learning ≈ Looking for a Function From Data

  • Speech Recognition

  • Image Recognition

  • Playing Go

  • Dialogue System

Framework

Training

  1. Define a set of function(Model)

  2. Goodness of function f(Training Data: function input、function output)

    Pick the “Best” Function f ∗ f^{\ast} f

Testing

  1. Using f ∗ f^{\ast} f test

Learning Map

Task

Regression

The output of the target function f is “scalar”

Classification

  • Binary Classification

    I n p u t → F u n c t i o n    f Y e s    o r    N o Input\xrightarrow{Function\,\,f}Yes\,\,or\,\,No InputFunctionf YesorNo

  • Multi-class Classification

I n p u t → F u n c t i o n    f C l a s s 1 , C l a s s 2 , . . . C l a s s    N Input\xrightarrow{Function\,\,f}Class1, Class2, ... Class\,\,N InputFunctionf Class1,Class2,...ClassN

Model

Supervised Learning

  • Linear Model

  • Deep Learning

Semi-supervised Learning

Transfer Learning

Unsupervised Learning

Stuctured Learning

Beyond Classification

Reinforcement Learning

Learning from critics

你可能感兴趣的:(机器学习,机器学习,人工智能)