Menu secondario

Ingegneria Informatica (Academic Year 2019/2020) - Big Data

Big Data Analytics and Visualization

Filter by academic year:

Material related to the whole subject. - Aula_Virtuale_Big_Data_Analytics_and_Visualization_13122016 (A.Y. 2016/2017) - Visualizzazione delle Informazioni: D3.js_21122016 (A.Y. 2016/2017)

Lesson n.1: Introduction to Big Data Analytics and visualization
Lesson n.2: Introduction to machine learning
Lesson n.3: Fundamentals of machine learning - Part one
Lesson n.4: Fundamentals of machine learning - Part two
Lesson n.5: Fundamentals of machine learning - Part three
Lesson n.6: Deep learning. Part one
Lesson n.7: Deep learning. Part two
Lesson n.8: Bias-variance, and Errors and metrics
Lesson n.9: Support vector machines. Part one
Lesson n.10: Support vector machines. Part two
Lesson n.11: Support vector machines. Part three
Lesson n.12: Unsupervised learning
Lesson n.13: Principal component analysis and factor analysis
Lesson n.14: Reinforcement Learning and Control
Lesson n.15: Learning theory
Lesson n.16: Regularization and model selection