Decision tree for voting 2016:from Maru Kun's review of /Before the Storm/ goodreads.com/review/show/1469764074

As the world continues to diversify technologically, this book continues to gain relevance. This book takes on the two major algorithms decision trees and random forests. The Author Chris Smith describes these two algorithms vividly and throws insight on their strength and weaknesses.In the past, I have always imagined how self-driving cars manage to find their way. This book has enlightened me so much. It an educational book good for those with interest in machine language and ideas of the futu...

In the book, Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees, the author Chris Smith makes the complicated, simple. Decision tree and random forest algorithms are often used throughout business to more quickly assimilate information and make it more accessible. These algorithms work seamlessly behind the scenes in industries from credit scoring to product development. With the use of easy to understand drawings, Chris...

Easy to understand decision treeDecision tree is a book about building a tree and what it will do for you. The algorithms used are also discussed the author uses easy to follow aids to explain the inner workings of the decision tree. There are qquestions throughout that will help you test your knowledge and understanding of the methods. You will not learn to code from this book but you will get a good understanding of the decision tree and how it functions. Good read with a lot of good informati...

Easy Read- A good resourceA simple guide to Decision Trees and Random Forests for beginners or for anyone who wants to refresh the fundamentals, that are used in various industries to make educated, knowledgeable decisions helping reduce risks. The author has used various easy to understand examples, visual layouts to clarify the fundamentals. A great resource for everyone from teenagers to employees and can be read again and again to understand the concepts well.

No matter how hard I try to avoid math at high school and university, numbers and algorithms are everywhere you look, behind every interesting and highly advanced videogame that catch your attention, there are tons of numbers and programs behind it, but finally there is a book that makes me understand all that.‘Decision trees’, ‘random forests’, there are new concepts presented here and while at first I was a bit skeptical about reading it but still I give it a chance and it was the right choice...

Genuinely fascinating, this book breaks down "machine learning" into visuals spread out over 100 images.Smith takes a concept that can seem overwhelmingly complex to understand, and breaks it down page by page.He's very clear from the outset that this is a book for total beginners, so if you've got a basic understanding how decision trees work this probably isn't for you, but if like me you're coming from a position of total ignorance then you won't find a better starter kit.Smith breaks down th...

Decision Trees and Random Forests is a guide for beginners. The author provides a great visual exploration to decision tree and random forests. There are common questions on both the topics which readers could solve and know their efficacy and progress. The book teaches you to build decision tree by hand and gives its strengths and weakness. The author also provides introduction to Decision Tree Algorithms, their probable drawbacks and the different ways to build them. There is also introduction...

Good primerShort and concise intro with python code and images, easy read and some insight for when you start your model. But the focus is on the concepts. Also short enough to be used as a reference.

Informative and very interestingDecision Trees and Random Forests is a really interesting and informative book. I’m not sure I’ll ever use the knowledge I gained it it’s pretty neat to have a new understanding of algorithms, and how decision trees work. I liked that this book was written with people like me in mind. While I’m not the type of person to go out and create my own decision trees, I love that After reading this book I could do so. I mostly read this book just out of curiosity and to l...

In school, we never actually used decision trees, so I had to check out this concept. I really wish we would have now because it makes so much more sense to use them than some of the other ways we worked on problems in class. This definitely made math a lot more understandable to me, which is something I can really appreciate. I try to keep up with my skills because of the whole “use it or lose it” principle, so I am glad I now have this method to work with. This book was a breeze to follow, so

Within computer science, an algorithm is a process or set of rules that are followed to solve a problem. Chris Smith has designed and written a book for beginners who have no previous experience (or are even aware of the concept) with machine learning. For openers he states, ‘Machine learning is a growing field that has gained lots of momentum within the last few years. From new drug discovery to better web search, credit card fraud detection and language translation, it is upending how we learn...

This is a really excellent guide about decision trees and it shows that the author really knows how to engage his readers and make something fairly abstract and complicated much more approachable.He does that without dumbing down his subject matter or talking to his readers like they are children, which sometimes I see in various beginners guides about anything. Instead, the author uses real life examples to illustrate his points and he uses plenty of visuals that make things easier to understan...

Complex maths has always been a challenge for me as I just could not relate it to the real world. In “Decision Trees and Random Forests…” abstract concepts are broken down into easily relatable portions. The use of visuals really helped to understand the material with the added bonus that you could go back and review chapters that you might not had completely grasped. A very good tool for the newbie to this concept.

I found this to be helpful to my understanding of how decision tree algorithms work. When I bought this I couldn’t have known less about machine learning.As artificial intelligence is growing more and more powerful and becoming more and more common I’ve grown increasingly interested in this area and this was just the introduction to the field that I needed. Clearly written throughout, I did need to re-read a few pages but that was only due to the complicated-ness of the subject.There’s loads of

Decision Trees was well-written and easy to follow. As a beginner, I picked up this book because I was curious to see if the writer could explain a concept I knew little to nothing about and teach me something. That is exactly what happened. I learned from reading this book. The writing is done in such a way that made it understandable and reader-friendly. There was no condescending tone or "dumbing down" of the information, which I very much appreciated. I have a better understanding of algorit...

Concise and effective Not as visual as I expected, but hits all the necessary points in terms of theory and explanation. And it's very concise. Not sure how effective the series would be on more esoteric topics such as deep learning, but for something that's intuitive, such as decision trees, it does the job.

Really helpful at giving a conceptual overview of DT's and RF's in terms a lay person could understand. From this knowledge, went on to use RF in a project. Still a lot to learn but a very helpful book! Thank you Chris Smith!

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

This book really left me scratching my head -The first third was SUPER SIMPLE! I mean simple like it what we are taught in fifth grade... your basic tree diagram.The other (almost) two thirds was what I expected from the title, a very basic introduction to machine learning. I enjoyed thinking about how to make machines think :-)That missing part of a third? Another major head scratcher - PYTHONWho cares whether it's good or bad. Who cares whether it's hard or easy to understand. I appreciate wha...