An Introduction to Machine Learning, 2nd Edition
This book presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction as well as Inductive Logic Programming. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
Download free tutorial in PDF (348 pages) created by Miroslav Kubat .
| Pages : | 348 |
| Size : | |
| File type : | HTML |
| Downloads: | 301 |
| Created: | 2021-05-15 |
| License: | Free |
| Author(s): | Miroslav Kubat |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Machine Learning Tutorials
Interpretable Machine Learning
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Machine Learning with TensorFlow
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
Others related eBooks about An Introduction to Machine Learning, 2nd Edition
Semantic Systems. The Power of AI and Knowledge GraphsDownload free course Semantic Systems. The Power of AI and Knowledge Graphs, pdf file on 400 pages by Maribel Acosta, Philippe Cudré-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack, York Sure-Vetter....
Raspberry Pi Projects Book, Volume 5The Raspberry Pi is loved the world over by educators and makers thanks to its tiny size a..., download free Raspberry Pi tutorial in PDF (200 pages) created by Wes Archer ....
LaTeX Notes for ProfessionalsDownload free course LaTeX Notes for Professionals, pdf file on 59 pages by Stack Overflow Community....
Interpretable Machine Learning: A Guide for Making Black Box Models ExplainableThis book explains to you how to make (supervised) machine learning models interpretable....
TensorFlow RoadmapA deep learning is of great interest these days, the crucial necessity for rapid and optim..., download free TensorFlow tutorial in PDF (22 pages) created by Amirsina Torfi ....
Getting Started with InnerSourceDownload free course Getting Started with InnerSource, pdf file on 22 pages by Andy Oram....
Kotlin Notes for ProfessionalsDownload free course Kotlin Notes for Professionals, pdf file on 93 pages by Stack Overflow Community....
Think ComplexityDownload free course Think Complexity, pdf file on 228 pages by Allen Downey....
Data Protection for the Hybrid CloudDownload free course Data Protection for the Hybrid Cloud, pdf file on 115 pages by Shreesh Dubey, Vijay Tandra Sistla, Shivam Garg, Aashish Ramdas, Mitch Tulloch....
S-BPM in the Production IndustryDownload free course S-BPM in the Production Industry, pdf file on 239 pages by Matthias Neubauer, Christian Stary....