This document is an overview of machine learning created by Zaid Harchaoui, PDF training manual in 45 pages intended to hight students level.
Table of contents
- Overview of machine learning
- Unsupervised learning
- Supervised learning
- Learning Machines
- Feature representation
- Statistical learning : a tentative big picture
- Unsupervised learning (learning without a teacher)
- A blend of scientific disciplines
- Computational efficiency : space and time savings
- Statistical performance : fewer dimensions → regularization
- Visualization : discover underlying structure of the data
Size : | 4460.385 Kb |
Downloads: | 123 |
Created: | 2019-05-01 |
Others related eBooks about Overview of Machine Learning
This book explains to you how to make (supervised) machine learning models interpretable.
Download free course Understanding Machine Learning, pdf file on 449 pages by Shai Shalev-Shwartz, Shai Ben-David.
Download free course Interpretable Machine Learning, pdf file on 312 pages by Christoph Molnar.
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ide
This book is about making machine learning models and their decisions interpretable. After..., download free Machine Learning tutorial in PDF (312 pages) created by Christoph Molnar .