Decision Tree and Random Forest - Machine Learning and Algorithms: The Future Is Here! - Softcover

Sullivan, William

Softcover

ISBN 10: 1986246663 ISBN 13: 9781986246668

Publisher: Createspace Independent Pub, 2018

Synopsis

Decision Tree And Random Forest: Artificial Intelligence Series

Decision Tree and Random Forest have real world applications using algorithms

These are behind many fundamental activities, services and processes we humans take for granted! We interact with these "behind the scene" processes on a daily basis without even knowing!

This book installment goes over the fundamental concepts of both Decision Trees and Random Forests, but explains it to readers in more simple terms and breaks down the complexity of the subject matter in more comprehensible components.

What You'll Learn...

Structure of Decision Tree

What Constitutes Random Forests Algorithms

Recursive Binary Splitting

Regression Vs Classification Trees

K-NN ( K-nearest neighbor)

Deep learning

Aspects of Bayes' Theorem

And.. Much, Much More!

Other books easily retail for $50-$100+ and have far less quality content. This book is by far superior and exceeds any other book available.

High quality diagrams included, visual aids have been proven to help accelerate the learning process 110% times faster than texts alone.

Make the greatest investment in yourself by investing in your knowledge!

Buy Now

*Note: For the best visual experience of diagrams it is highly recommend you purchase the paperback version*

First time audible listeners get a 30 day free-trial and 2 free audible books when signing up for the first time.

Audible Link: https://www.audible.com/t2/title?asin=B07DD1V8FV

About this title

Review

"Definitely one of my favorites books written by William in the"Artificial Intelligence Series". He describes "Decision Trees" as  support tool that uses a tree-like graph or model of decisions and their possible outcomes". 
--- James Mckinnon, Computer Programmer

" This book dives into the subject matter of machine learning the various tools that encompass it.  In essence both Decision Trees/Random forests are a type of learning method classifications that machines utilize. Irecommend this book to anyone wanting to learn about artificialintelligence and its learning methodologies."

 ---- Margaret S. Hudyma, Systems Engineer

" illustrations are wonderful done, concise and to the point. Great bookto start off with in your journey in of learning about artificialintelligence and the many nuances it contains."


--- Dr. Jacob T. Derbal, Professor of Information Technology Management
"The author, William  S. does a phenomenal job in taking seemingly complexand intricate content and spins it in such a way the is comprehensibleto the lay-man. To the point with no jargon. Great book overall."


---James S. Wright, Bio-Engineer

Edition details

• Publisher: Createspace Independent Pub
• Publication date: 2018
• Language: English
• ISBN 10: 1986246663
• ISBN 13: 9781986246668
• Binding: Paperback
• Number of pages: 124