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$0 Amazon Kindle eBook: Decision Trees and Random Forests - A Visual Introduction For Beginners

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AU
By Chris Smith and Mark Koning, 170 pages, published December 20, 2017

Amazon's Description:

If you want to learn how decision trees and random forests work, plus create your own, this visual book is for you.

The fact is, decision tree and random forest algorithms are powerful and likely touch your life everyday.

From online search to product development and credit scoring, both types of algorithms are at work behind the scenes in many modern applications and services.

They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk.

Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact.

This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

eBook is free at time of posting. Please check price before buying.

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closed Comments

  • +1

    exactly what i need to supplement the ai course im having

  • Thanks.. good share

  • +12

    I can't decide if I should buy this. I wish there was some form of method to help me work out the right path to take.

    • Here's the algorithm I use for most of my collection:

      def should_i_buy(title, price):
          return price == 0
      

      It's not perfect but gets the job done when I'm being indecisive.

      • Not working for me with some cashback promotions. Pull request:

        return price <= 0

  • Bose or Sony?

  • +1

    AU link no longer free it seems 😟

  • Thanks OP! This looks like a good read

  • +1

    US link no longer free

  • AU link and US link no longer free. The Decision Trees and Random Forests reduce to single brand decision.

  • Decision tree says no.

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