Pierson, Lillian,|eauthor creator Porway, Jake,|ewriter of introductory text. text xx Hoboken, NJ John Wiley and Sons, Inc. [2017] 9999 2nd edition. monographic und

print

xvi, 364 pages: illustrations, charts 24 cm. Begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised machine learning, including regression techniques and model validation techniques. Part III explains unsupervised machine learning, including clustering and recommendation engines. Part IV overviews big data processing, including MapReduce, Hadoop, Dremel, Storm, and Spark. The book finishes up with real world applications of data science and how data science fits into organizations. by Lillian Pierson ; foreword by Jake Porway. in English Information technology Information retrieval Databases Data mining 004 P61d c2017 9781119327639 251212 20260803094233.0