Introduction to Machine Learning

What is machine learning:

• Machine learning is a field that had grown out of the field of AI.
• Was developed as a new capability for computers.
• Example: 
  • Data mining: use large datasets such as web click data, medical records, biology, enginerring
  • Applications can't be programmed by hand: autonomous helicopter, handwriting recognition
  • Self-customizing programs: Amazon, Netflix recommendations
  • Understand human learning (human brain)

Informal definition:

Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed.

Formal definition:

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.

Example: playing checkers

• E = the experience of playing many games of checkers
• T = the task of playing checkers.
• P = the probability that the program will win the next game.

Mnemonic:

Trước cửa nhà có một con Cá khổng lồ đang làm nhiệm vụ (Task - T) tập đi. Sau khi tập đi tập lại té lên té xuống rất nhiều lần, nó học được nhiều kinh nghiệm (Experience - E) và đi ngày một tốt hơn (Probability - P of success)