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 |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Overview of Machine Learning
Download Understanding Machine Learning tutorial, a complete eBook created by Shai Shalev-Shwartz and Shai Ben-David.
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 .
This book presents the first comprehensive overview of general methods in Automated Machin..., download free Machine Learning tutorial in PDF (220 pages) created by Frank Hutter .
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems.
Download free course Automated Machine Learning, pdf file on 223 pages by by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren.