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A**K
Bravo
I have to say I do respect the words of Professor Haider, and I really wish he would continue on with his writing and write more literature. His book is one of the more Human Data Science books you can use everyday and in a corriculum. Your students will keep and cherish the book forever and could potentially use it in the office/on site. Real world issues, real job solutions backed by data science methods. Absolutely loved the book and I cannot wait to share with others who are developing a love for data.
R**R
A great overview of data science for a general audience
I found the book very useful not only for an IBM course I am taking but also as a good general guide to the real-life application of data science.
G**O
Simple text as intro
easy to read
A**R
A helpful guide for data science
Provides the necessary information and concrete examples needed to start with data science.
M**L
Great resource
Very helpful to me as a novice attempting to learn more about the subject in my own
A**D
Gives me the right path
I bought the pdf version of this book at informIT.com. Since I have some background in probability - a key concept in statistics -, I've started my learning from chapter 6, which is well written and explained - Illustrations are a plus. Each topic is introduced by using a nice context - for instance, when it says how the t-distribution was conceived. Codes are written in the R language - version 3.1 - and are available for free at informIT. I am using this book along with Applied predictive analytics from O'reilly - Currently, I'm reading chapter 3, Data understand. Both are well complementary.
M**R
Five Stars
Great book and an excellent introduction to the field.
B**N
Book is good...publisher is terrible
The book is helpful, providing hands-on learning. This, however, is the last book I will be buying from IBM Press. Many of the examples in the book are coded in R, but in the book is a link to "the book's accompanying website [which] carries additional, detailed documentation on how to perform the same analysis in other software." That link simply takes you to the product page on the IBM Press site, and there are no links to any additional documentation. When I contacted the publisher, they sent me the link to the sample chapter and a terse explanation of "the link provided is the only content that has been made available." So don't purchase this book expecting to get documentation for performing the analyses in other software packages as promised.
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