Machine learnin Study guides, Class notes & Summaries

Behaalde score: (17/20); Kwalitatieve, uitgebreide, duidelijke, allesomvattende (alle behandelde hoofdstukken) (128p) samenvatting (in Engels) van het vak Data Mining gebaseerd op het handboek, eigen notities en de slides. Recentelijk geschreven en gebruikt (2022).

Test Bank For Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners 2nd Edition All Chapters

English Summary of Machine Learning course of Master Data Science and Society at Tilburg University. A summary of lecture materials, readings, and notes.

Probabilistic Machine Learning An Introduction, 1e Kevin P. Murphy (Solution Manual) Probabilistic Machine Learning An Introduction, 1e Kevin P. Murphy (Solution Manual)

This summary contains all material discussed in the lectures (1-13) of Machine Learning taught at the Vrije Universiteit Amsterdam to third year Business Analytics, Information Science, Computer Science and Artificial Intelligence bachelor students. It is quite extensive, contains a lot more than just theoretical formulas (I think it is hard to memorise them without knowing some background) so everything I wrote is explained with a sketch, example or some extra information that all helped me t...

Machine Learning Refined Foundations, Algorithms, and Applications, 2e Jeremy Watt, Reza Borhani, Aggelos Katsaggelos (Solution Manual) Machine Learning Refined Foundations, Algorithms, and Applications, 2e Jeremy Watt, Reza Borhani, Aggelos Katsaggelos (Solution Manual)

A First Course in Machine Learning, 2e Simon Rogers, Mark Girolami (Solution Manual) A First Course in Machine Learning, 2e Simon Rogers, Mark Girolami (Solution Manual)

Linear Algebra and Optimization for Machine Learning A Textbook, By Charu C. Aggarwal (Solution Manual) Linear Algebra and Optimization for Machine Learning A Textbook, By Charu C. Aggarwal (Solution Manual)

A detailed summary of the lessons of Machine Learning taught by David Martens at the University of Antwerp. This is a summary of my own notes, the slides and the book Data Science for Business.

Summary of all the lectures of Machine Learning. It contains all the relevant material needed for the final exam.

Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual) Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual)