Pattern Recognition and Machine Learning notes (1st edition)

 Machine Learning: Design and development of algorithms for training computers with example data or past experience based on a performance criteria.  Key concepts: • Example Data: Observed instances possibly with known outcome • Training/Learning: Process of generalization from the example data as probability distributions, rules, discriminative functions...

 Machine Learning: Design and development of algorithms for training computers with example data or past experience based on a performance criteria.  Key concepts: • Example Data: Observed instances possibly with known outcome • Training/Learning: Process of generalization from the example data as probability distributions, rules, discriminative functions...