The 100 page machine learning book

by Dan McDonnell

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.

Genres: Technology, Coding

133 pages, Paperback

Published June 10, 2022

Reviews

[Aritra Mitra · Rating 4 out of 5]

Got me started on ML techniques. Handled the basic concepts well without shying away from maths.