Sinopsis

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*

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

"Sinopsis" puede pertenecer a otra edición de este libro.