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Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Undergraduate Topics in Computer Science)

Boris Mirkin




[PDF.al87] Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Undergraduate Topics in Computer Science)

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 | #2323997 in Books |  Springer London |  2011-04-13 | Original language:English | PDF # 1 |  9.25 x.93 x6.10l,1.26 | File type: PDF | 390 pages

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||3 of 3 people found the following review helpful.| Solid book on statistical data analysis|By Jennifer A Evans|covers some topics in more depth than other books. has a unique viewpoint.
There is a corresponding free online course via Coursera (search online, won't post links) that this book is a companion too.|0 of 0 people found the following review helpful.| One Star|By EE ||From the reviews:|“Oriented toward undergraduate students in the computer science field, this work offers a unique approach to data analysis by focusing primarily on summarization, correlation, and visualization techniques instead of more broad-based ap

Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).

Boris Mirkin takes an unconventional approach and introduces the concept of mul...

You easily download any file type for your gadget.Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Undergraduate Topics in Computer Science)   |  Boris Mirkin. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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