A budding data scientist are you?
A budding DATA SCIENTIST are you?Checkout our list of the must-read books on data science
Big data a revolution that will transform the way we live, work and thinkPublisher: Jenna DutcherAuthor: Viktor Mayer-Schonberger and Kenneth Cukier
About the book With the Big data boom that has exploded an unimaginable amount of information can be crunched. It seems we are back at the age of Aristotle where we look for the cause behind every happening. Casualty is slowly being replaced by correlation these.
Automate this: how algorithms came to rule our worldPublisher: Portfolio HardcoverAuthor: Christopher Steiner
About the bookImagine the bots taking over our world and slowly spilling into lives and slowly taking over every aspect of our work, life and entertainment. It is a frightening tale of how algorithms will take control. Learn how the interaction of man and machine can help to make our lives on earth simpler.
The signal and the noise: why so many predictions fail but some dont Publisher: Penguin GroupAuthor: Nate Silver
About the bookSilver in his book has drawn his own previous works with the way prediction work. He has outlined how he can separate the real signals from the whole universe of noisy data surrounding the real gems. A successful blogger, predicted the 2008 and 2012 elections and performance of baseball players with success and the owner of fivethirtyeight.com all within the age of 30.
Predictive analysis: the power to predict who will click, buy, Lie or diePublisher: John Wiley & SonsAuthor: Eric Siegel
About the bookUsed in more than 30 universities as a part of their curriculum The winner of the Nonfiction book and small business book awards Has been translated into 9 languagesThis book explains how predictive analysis works and how it affects the lives of people as well as businesses.
Doing Data Science: straight talk from the frontlinePublisher: OReilly MediaAuthor: Cathy ONeil and Rachel Schutt
About the bookThis book is based on Columbia Universitys introductory class on Data Science and gives insight on how one can start working in a field with multiple interdisciplinary intersections and a wide-ranging hype.Readers describe this book as the best source to get an introductory idea of data science for people with knowledge in probability, linear algebra, statistics and programming.
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