Class Notes – Machine Learning, Lecture 1


Subject : Machine Learning (CS 229)
Instructor : Prof. Andrew Ng

machine learning

  • come as part of Artificial Intelligence research
  • Used to solve problem which difficult to be manually programmed
  • Used for data mining

Indirect use of Machine Learning on our daily life :

  • US Mail – to read zip code on envelope
  • Check – to read money number
  • Amazon, ebay, netflix – Suggest product
  • Understanding Human Genome

prerequisite, know about:

  • Big O
  • Basic Data structure (Queue, Stack, Binary search)
  • programming
  • Basic probability and statistics
  • Basic Linear Algebra especially using matrix

Machine Learning Definition :

  • Field of Study that gives computer the ability to learn without being explicitly programmed (Arthur Samuel, 1959)
  • Well Posed learning problem. A Computer program is said to learn from experience E with some respect to some task T and some performance measure P if its performance on T, as measured by P improves with experience E

Machine Learning Classification :

  • Supervised Learning : supervise the algorithm by providing data to it.
  • Learning Theory
  • Unsupervised Learning :  give data to algorithm and let them find interesting structure from data
  • Reinforced Learning : Give algoritm reward when it right and punishment when it wrong. Application Sample : autopilot helicopter

Application of Unsupervised Learning

  • Organize Computer Cluster
  • Social Network Analysis
  • Market Segmentation
  • Astronomical Data analysis
  • Computer Vision / Computer image processing (build 3D view from single still image)

Cocktail party problem : lots of people talking to each other how to just hear from people that you want to hear or in the other way filtering noises.

3 thoughts on “Class Notes – Machine Learning, Lecture 1

  1. nonton video lectures Prof Andrew Ng. ya semoga saja suatu saat nanti bisa jadi muridnya beneran. itu link ke kelas CS229 ada link ke video2 nya. atau cari dari itunesu di itunes store atau itunes.stanford.edu

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s