02021nam a2200397Ia 4500 20260803094233.0 251212s9999 xx 000 0 und d[2017][2017][2017] Data science / by Lillian Pierson ; foreword by Jake Porway. Data science for dummies. Pierson, Lillian,|eauthor Porway, Jake,|ewriter of introductory text. Hoboken, NJ : John Wiley and Sons, Inc., [2017]. 2nd edition. xvi, 364 pages: illustrations, charts 24 cm. --For dummies. 9781119327639 Information technology. Information retrieval. Databases. Data mining. CIR 004 P61d c2017 0 0 0 0 1 1 1 0 0 1 1 0 HS1714 in English High School Library 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. 0 still image sti|2rdacontent. unmediated c|2rdamedia. volume cr|2rdacarrier. lcc BK jderpo 2022-03-03 09:05:33 jderpo 2022-03-03 09:05:33 11756 11649 11649 0 0 ddc 0 0 BED BED BED 2025-12-21 CIR 004 P61d c2017 HS1714 2025-12-21 23:11:53 2025-12-21 BK