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Computer Engineering (Academic Year 2022/2023) - Big Data

Machine Learning

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Lesson n.1: Introduction to machine learning
Lesson n.2: Fundamentals of machine learning - Part one
Lesson n.3: Fundamentals of machine learning - Part two
Lesson n.4: Fundamentals of machine learning - Part three
Lesson n.5: Deep learning. Part one
Lesson n.6: Deep learning. Part two
Lesson n.7: Bias-variance, and Errors and metrics
Lesson n.8: Support vector machines. Part one
Lesson n.9: Support vector machines. Part two
Lesson n.10: Support vector machines. Part three
Lesson n.11: Unsupervised learning
Lesson n.12: Principal component analysis and factor analysis
Lesson n.13: Reinforcement Learning and Control
Lesson n.14: Learning theory
Lesson n.15: Regularization and model selection
Lesson n.16: Biomedical Analytics n. 16.1 - Bibliography about Biomedical Analytics (A.Y. 2016/2017) Biomedical Analytics