Machine learning is a vast topic that has gained much importance in the recent past. It is topic that is grabbing attention of geeky nerds. For all those of you who have started with Machine learning or planning to do will find our today’s topic quite useful.
Ofcourse, it is difficult to learn and if I say is a hard nut to crack but then with little help, you can easily make a strong hold and enjoy machine learning. It might scare you all with difficcult words but when you start understanding it, you will indeed find it interesting.
If you feel that Machine learning is not your cup of tea but then check out the best free Machine Learning ebooks that you can download and make the topic interesting.
The below pinned best Machine Learning ebooks will surely prove to be of great help for all those of you who aim to go for machine learning and want to make the topic more interesting. Here are the ones that we have picked for you to check and select the ones you find useful.
This is an ebook by T.Hastie, R. Tibshirani, J.Friedman that lets readers get knowledge about conceptual underpinnings. There are varied topics included like statistical framework and much more.
Inductive logic programming is a topic in Machine Learning. It is used in research field at the intersection of machine learning and logic programming.
This is an ebook written by Richard S. Sutton, Andrew G. Barto. With this ebook users can get a grasp of machine learning the easy way.
This is an ebook by David J.C. Mackay in which information theory topic is well explained in such a way that it helps readers attain good knowledge about the practical communication systems viz. arithmetic coding for data compression, sparse-graph codes for error-correction and more.
This is an ebook by Carl E. Rasmussen, Chritopher K.I Williams. With this ebook one can learn a principled, practical, probabilistic approach to learning in kernel machines in quite a simple way.
6. The LION Way
This ebook is written by Roberto Battiti, Mauro Brunato and has been written in such a way that it helps users in machine learning and Intelligent Optimization (LION).
This is an ebook that is written by David Barber that targets the final-year undergraduates and master’s students. The topics include linear algebra and calculus. This book helps users learn basic reasoning, advanced techniques within the framework of graphical models and develop skills.
This is an ebook by D. Michie, D.J Spiegelhalter that aims at providing an up-to-date review of different approaches to classification.
This ebook is written by Nilis J Nilsson. It includes different topics in machine learning circa 1996 that helps people pursue a middle ground between theory and practice.
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