---
product_id: 105516578
title: "Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees Kindle Edition"
brand: "chris smithmark koning"
price: "AR$14288"
currency: ARS
in_stock: true
reviews_count: 10
url: https://www.desertcart.com.ar/products/105516578-decision-trees-and-random-forests-a-visual-introduction-for-beginners
store_origin: AR
region: Argentina
---

# Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees Kindle Edition

**Brand:** chris smithmark koning
**Price:** AR$14288
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees Kindle Edition by chris smithmark koning
- **How much does it cost?** AR$14288 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.ar](https://www.desertcart.com.ar/products/105516578-decision-trees-and-random-forests-a-visual-introduction-for-beginners)

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- chris smithmark koning enthusiasts

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## Description

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## Customer Reviews

### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars







  
  
    A fine addition to this excellent series.
  

*by A***S on Reviewed in the United States on January 23, 2018*

Maybe, like me, you never got on with mathematics at school. In my schooldays, my problems in the subject were threefold: 1) a bad teacher 2) an active resistance to anything I didn’t find stimulating 3) a lack of awareness of how to work around dyscalculia. So instead, I challenged my teacher to prove things (he refused and/or was unable; this book in contrast does not resort to “it just works this way” explanations), I accused him of witchcraft when he produced correct numeric answers with no demonstration of how things worked, and I generally struggled with anything containing numbers.Here instead, everything is presented in a clear and simple fashion—as the title suggests, largely visual—minimizing the need to juggle a lot of numbers and instead working chiefly with concepts, which I can grasp much more readily. Where numbers are necessary, they’re not onerous and they’re nothing whose calculations one couldn’t do on a phone if necessary.In short, a clear and engaging primer in how probability trees and random forests work and, as a bonus, how they can be used in Python—as with other books in the series, again without expecting any deep knowledge of programming.If only books like this were used in schools, resulting in people better understanding stats and probability, the world might have a lot fewer problems than it does!

### ⭐⭐⭐⭐ 4.0 out of 5 stars







  
  
    All beginners should start here!
  

*by M***G on Reviewed in the United States on March 8, 2018*

As a beginner to machine learning, and decision tree and random forest algorithms, this book was incredibly helpful and easy to understand. The applicability to everyday life is explained well in the sections of “Practical Uses” and gives real examples and how these algorithms are used in different scenarios.The process of creating both types of algorithms was also thoroughly explained and very helpful, and started out with hand-drawn algorithms that help the user contemplate different scenarios. It’s interesting that the human brain already does this without having to actively think about it, but the active thinking is what helps create the best possible outcomes to a given scenario. The explanations and decision-making algorithms explain the psychology of human behavior, and are helpful for both making and driving decisions.The illustrations really are helpful in describing the concepts, and also help you to find what you are looking for when needing to go back to a certain concept or explanation. I could see how this is definitely for a beginner, but out of the other things that I’ve looked into, this is the best place to start!

### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars







  
  
    Logically and visually explained machine learning for newbies.
  

*by B***. on Reviewed in the United States on February 19, 2018*

I wonder if one day we all start using algorithms for any decision we make in life. We can just have a simplified way to throw all variables in the decision-making mix and assign a task to a machine to perform it for us. At least then we will have machines to blame if the results of a decision don’t turn out as we expect them to! Jokes aside, this book is a pretty simple explanation of machine learning intended for beginners, which you will be able to use not only as a Python developer, but also to understand how trees and forests are used as a metaphor for the logical processes of machine learning.The example for Google driverless vehicles is used to explain how algorithms are used to help the machine analyze the data and come to logical outcomes. If you’ve never really touched upon computer algorithms, you may need to spend some more time in finding the parallel between machine and real learning. However, decision trees and random forests are just complex logical processes - sometimes our brains get into such analysis without even being aware of it. As inconvenient as it may seem, machines are better equipped to solve many problems. The book also goes into the common problems of decision trees and random forests, including practical training examples and visual presentation. It may now be an area for techies, but I think that in a few years, ML will be in the mainstream general knowledge. So. it’s good to get prepared!

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*Product available on Desertcart Argentina*
*Store origin: AR*
*Last updated: 2026-03-20*