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Ingénierie Informatique (Academic Year 2022/2023) - Big Data

Machine Learning

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