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(This article was first published on <strong><a href="http://www.win-vector.com/blog/2016/06/free-e-book-exploring-data-science/"> R – Win-Vector Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>We are pleased to announce a new free e-book from <a target="_blank" href="https://www.manning.com/">Manning Publications</a>: <a target="_blank" href="http://bit.ly/1UEJfGm">Exploring Data Science</a>. Exploring Data Science is a collection of five chapters hand picked by John Mount and Nina Zumel, introducing you to various areas in data science and explaining which methodologies work best for each. </p>
<p><a target="_blank" href="http://bit.ly/1UEJfGm"><img title="ExploringDataScience.jpg" alt="ExploringDataScience" src="http://i1.wp.com/www.win-vector.com/blog/wp-content/uploads/2016/06/ExploringDataScience.jpg?resize=476%2C600" border="0" data-recalc-dims="1"></a><span></span><a target="_blank" href="http://bit.ly/1UEJfGm">Exploring Data Science</a> gives you a free sample of important data science topics chosen from great Manning books. Each chapter was chosen by John Mount and Nina Zumel and includes a brief orientation/introduction. The topics are:</p>
<ol>
<li>Exploring data:<br>
Chapter 3 from Practical Data Science with R.</li>
<li>Time series:<br>
Chapter 15 from R in Action, Second Edition.</li>
<li>Deep learning and neural networks:<br>
Chapter 6 from Algorithms of the Intelligent Web, Second Edition.</li>
<li>Text mining and text analytics:<br>
Chapter 8 from Introducing Data Science.</li>
<li>Modeling dependencies with Bayesian and Markov networks:<br>
Chapter 5 from Practical Probabilistic Programming.</li>
</ol>
<p>This 191 page e-book is free, but only officially licensed/available from <a target="_blank" href="http://bit.ly/1UEJfGm">manning.com</a>. To get your free PDF click <a target="_blank" href="http://bit.ly/1UEJfGm">here</a> and use Manning’s online shopping system. You will have to enter your email and other details, but Manning Publications is a reputable vendor well worth having an account with.</p>
<p>Please check it out! And please help us promote this fun offering by posting, sharing, and Tweeting.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.win-vector.com/blog/2016/06/free-e-book-exploring-data-science/"> R – Win-Vector Blog</a></strong>.</div>
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