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Learning Predictive Analytics with R
Get Free Ebook Learning Predictive Analytics with R
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About the Author
Eric Mayor Eric Mayor is a senior researcher and lecturer at the University of Neuchatel, Switzerland. He is an enthusiastic user of open source and proprietary predictive analytics software packages, such as R, Rapidminer, and Weka. He analyzes data on a daily basis and is keen to share his knowledge in a simple way.
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Product details
Paperback: 321 pages
Publisher: Packt Publishing - ebooks Account (September 24, 2015)
Language: English
ISBN-10: 1782169350
ISBN-13: 978-1782169352
Product Dimensions:
7.5 x 0.8 x 9.2 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
3.0 out of 5 stars
2 customer reviews
Amazon Best Sellers Rank:
#1,398,269 in Books (See Top 100 in Books)
I enjoyed reading this. As a beginner in predictive analytics, for me, it was informative. The subject matter is vast and no one book would be able to get someone started in the field of study but this was a good start for me.
Packt's conveyor is not slowing down: only three months ago I surveyed their fresh crop of "data science with R" offerings"Mastering Predictive Analytics with R" by Forte, £32.99"Mastering Machine Learning with R" by Lesmeister, £34.99"R Data Analysis Cookbook" by Viswanathan and Viswanathan, £29.99"Machine Learning with R Cookbook" by Yu-Wei, £30.99and now there are four more:"Unsupervised Learning with R" by Pacheco, £25.99"Data Analysis with R" by Fischetti, £34.99"Learning Predictive Analytics with R" by Mayor, £31.99"Mastering Data Analysis with R" by Daroczi, £34.99I have not yet seen Daroszi's book, but Fischetti's book gets my "thumbs up", Pacheco's is an easy "thumbs down", and Mayor's is ... right there with Pacheco's. The book really feels behind the times - cf. use of "lattice" over "ggplot2", and of R Commander instead of RStudio - and the writing is seriously subpar. Contentwise, it's all familiar stuff - even the dreadful book by Lesmeister could manage "caret" usage examples - and coverage is actually on the narrow side. What could *possibly* be the book's "unique selling proposition"?Kabacoff, Forte, Lantz, Cotton, Kuhn - check out the books by any of these authors, and erase this one from your memory.UPD. With the benefit of a little more life experience, I would say: don't spend your time on *any* R book. Python is the way to go.
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