Practical Data Science with R, 2nd Edition is OUT!!!

We just got the authors’ copies of Practical Data Science with R, 2nd Edtion. Hurray!!

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Practical Data Science with R, 2nd Edition — New Chapters!

We have two new chapters of Practical Data Science with R, Second Edition online and available for review! This makes available six chapter in total accessible to MEAP subscribers

Practical Data Science with R, 2nd Edition (MEAP)

The newly available chapters cover:

Data Engineering And Data Shaping – Explores how to use R to organize or wrangle data into a shape useful for analysis. The chapter covers applying data transforms, data manipulation packages, and more.

Choosing and Evaluating Models – The chapter starts with exploring machine learning approaches and then moves to studying key model evaluation topics like mapping business problems to machine learning tasks, evaluating model quality, and how to explain model predictions.

If you haven’t signed up for our book’s MEAP (Manning Early Access Program), we encourage you to do so. The MEAP includes a free copy of Practical Data Science with R, First Edition, as well as early access to chapter drafts of the second edition as we complete them.

For those of you who have already subscribed — thank you! We hope you enjoy the new chapters, and we look forward to your feedback.

Announcing Practical Data Science with R, 2nd Edition

I’ve told a few people privately, but now I can announce it publicly: we are working on the second edition of Practical Data Science with R!

Practical Data Science with R, 2nd edition

Manning Publications has just launched the the MEAP for the second edition. The MEAP (Manning Early Access Program) allows you to subscribe to drafts of chapters as they become available, and give us feedback before the book goes into print. Currently, drafts of the first three chapters are available.

If you’ve been contemplating buying the first edition, and haven’t yet, don’t worry. If you subscribe to the MEAP for the second edition, an eBook copy of the previous edition, Practical Data Science with R (First Edition), is included at no additional cost.

In addition to the topics that we covered in the first edition, we plan to add: additional material on using the vtreat package for data preparation; a discussion of LIME for model explanation; and sections on modeling techniques that we didn’t cover in the first edition, such as gradient boosting, regularized regression, and auto-encoders.

Please subscribe to our book, your support now will help us improve it. Please also forward this offer to your friends and colleagues (and please ask them to also subscribe and forward).

Manning is sharing a 50% off promotion code active until August 23, 2018: mlzumel3.

Practical Data Science with R released!

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Practical Data Science with R has been released. The eBook version will follow on April 15th.

You can order the book (or preorder the eBook) now on the Manning book page. The physical version comes with a complimentary eBook version (when the eBook is released), in all three formats: PDF, ePub, and Kindle.

If you haven’t yet, get it now!

Practical Data Science with R: Release date announced

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It took a little longer than we’d hoped, but we did it! Practical Data Science with R will be released on April 2nd (physical version). The eBook version will follow soon after, on April 15th.

You can preorder the pBook now on the Manning book page. The physical version comes with a complimentary eBook version (when the eBook is released), in all three formats: PDF, ePub, and Kindle.

If you haven’t yet, preorder it now!