Introduction Welcome Machine Learning Andrew Ng SPAM Andrew

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Introduction Welcome Machine Learning

Introduction Welcome Machine Learning

Andrew Ng

Andrew Ng

SPAM Andrew Ng

SPAM Andrew Ng

Introduction What is machine learning Machine Learning Andrew Ng

Introduction What is machine learning Machine Learning Andrew Ng

Introduction Supervised Learning Machine Learning Andrew Ng

Introduction Supervised Learning Machine Learning Andrew Ng

집 가격 예측 400 300 Price ($) 200 in 1000’s 100 0 0 500

집 가격 예측 400 300 Price ($) 200 in 1000’s 100 0 0 500 1000 1500 2000 2500 Size in feet 2 ( ≈ 0. 09 meter 2 ) 감독학습(Supervised Learning) “정확한 답들이” 주어짐 회귀(Regression): 연속된 값을 갖는 출력(가격)을 예측 Andrew Ng

Introduction Unsupervised Learning Machine Learning Andrew Ng

Introduction Unsupervised Learning Machine Learning Andrew Ng

감독학습(Supervised Learning) x 2 x 1 Andrew Ng

감독학습(Supervised Learning) x 2 x 1 Andrew Ng

무감독학습(Unsupervised Learning) x 2 x 1 Andrew Ng

무감독학습(Unsupervised Learning) x 2 x 1 Andrew Ng

Andrew Ng

Andrew Ng

Andrew Ng

Andrew Ng

Genes [Source: Daphne Koller] Individuals Andrew Ng

Genes [Source: Daphne Koller] Individuals Andrew Ng

Genes [Source: Daphne Koller] Individuals Andrew Ng

Genes [Source: Daphne Koller] Individuals Andrew Ng

Organize computing clusters Social network analysis Image credit: NASA/JPL-Caltech/E. Churchwell (Univ. of Wisconsin, Madison)

Organize computing clusters Social network analysis Image credit: NASA/JPL-Caltech/E. Churchwell (Univ. of Wisconsin, Madison) Market segmentation Astronomical data analysis Andrew Ng

Cocktail party problem Speaker #1 Speaker #2 Microphone #1 Microphone #2 Andrew Ng

Cocktail party problem Speaker #1 Speaker #2 Microphone #1 Microphone #2 Andrew Ng

Microphone #1: Output #1: Microphone #2: Output #2: [Audio clips courtesy of Te-Won Lee.

Microphone #1: Output #1: Microphone #2: Output #2: [Audio clips courtesy of Te-Won Lee. ] Andrew Ng

Cocktail party problem algorithm [W, s, v] = svd((repmat(sum(x. *x, 1), size(x, 1). *x)*x');

Cocktail party problem algorithm [W, s, v] = svd((repmat(sum(x. *x, 1), size(x, 1). *x)*x'); [Source: Sam Roweis, Yair Weiss & Eero Simoncelli] Andrew Ng