Machine learning

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Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too complex to describe generally in programming languages, so that in effect programs must automatically describe programs. Artificial intelligence is a closely related field, as also probability theory and statistics, data mining, pattern recognition, adaptive control, and theoretical computer science.

Topics[edit | edit source]

Offsite courses[edit | edit source]

MIT Open Learning Library[edit | edit source]

Mathematical Monk[edit | edit source]

Udacity[edit | edit source]

Lecture notes[edit | edit source]

Readings[edit | edit source]

Wikipedia[edit | edit source]

Textbooks[edit | edit source]

  • Machine Learning by Tom Mitchell, published McGraw Hill, 1997.
  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, published MIT Press, 2016.

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Index[edit | edit source]