Everything you really need to know in Machine Learning in a hundred pages!
This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program.
| Pages : | 159 pages |
| Size : | PDF files |
| Downloads: | 129 |
| Created: | 2020-08-30 |
| License: | "read first, buy later " |
| Author(s): | Andriy Burkov |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about The Hundred-Page Machine Learning Book
This book aims at providing an introduction to key concepts, algorithms, and theoretical frameworks in machine learning, including supervised and unsupervised learning, statistical learning theory, probabilistic graphical models and approximate inference. The intended readership consists of electric
Download free course Understanding Machine Learning, pdf file on 449 pages by Shai Shalev-Shwartz, Shai Ben-David.
This document is an overview of machine learning created by Zaid Harchaoui, PDF training manual in 45 pages intended to hight students level.
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 presents the first comprehensive overview of general methods in Automated Machin..., download free Machine Learning tutorial in PDF (220 pages) created by Frank Hutter .