num_pages: 133
description: Teacher of Information Sciences and Procedures co-author of the book with Applications in This is a compact just how to do data scientific research guidebook and also I predict it will certainly come to be a best source for academics as well as professionals alike. At 100 pages (or a little bit more) the book is short sufficient to check out in a solitary resting. Yet despite its length it covers all the significant device learning approaches varying from classic direct and also logistic regression via to modern-day assistance vector devices deep learning enhancing and also arbitrary woodlands. There is also no lack of information on the numerous methods and the interested visitor can obtain further details on any type of certain approach using the cutting-edge buddy book wiki. Guide does not presume any kind of high degree mathematical or analytical training and even programming experience so should come to practically any person going to spend the time to learn about these techniques. It needs to definitely be called for analysis for any person starting a PhD program around and will certainly function as an useful reference as they progress better. Lastly guide illustrates a few of the formulas using Python code among the most preferred coding languages for artificial intelligence. I would very advise The Hundred-Page Machine Learning Publication for both the novice aiming to find out more regarding artificial intelligence and the skilled professional seeking to prolong their data base.Every little thing you actually require to recognize in Machine Learning in a hundred pages.
language: English
title: The 100 page machine learning book
publisher: Independently published