機器學習 - introduction

What is Machine Learning?

“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” by Tom Mitchell

機器學習大致可分成

• Supervised Learning : article
  • Regression Problems: Predict continuous valued output
  • Classification Problems: Discrete valued optput
• Unsupervised Learning : article
  • Clustering Problems:

    EX: Organize computing clusters、Social network analysis、Market segmentation、 Astronomical data analysis

  • Cocktail party problem:

    Cocktail party problem algorithm: Octave

    [W,s,v] = svd((repmat(sum(x.*x,1),size(x,1),1).*x)*x')