000			01475nam a22001937a 4500
008			190501b2017 xxu||||| |||| 00| 0 eng d
020			_a9788126573332
082			_a005.74 CAD-F
100			_aCady Field
245			_aThe data science hand book / _cField Cady
260			_aIndia _bWiley _c2017
300			_a386 p.
365			_aINR _b939.00.
500			_aFinding a good data scientist has been likened to hunting for a unicorn. The required combination of software engineering skills, mathematical fluency and business savvy are simply very hard to find in one person. On top of that, good data science is not just rote application of trainable skillsets, but rather requires the ability to think critically in all these areas. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The author describes the classic machine learning algorithms, including the mathematics needed to understand what's really going on. Classical statistics is taught so that readers learn to think critically about the interpretation of data and its common pitfalls. In addition, basic software engineering and computer science skillsets often lacking in data scientists are given a central place in the book. Visualization tools are reviewed and their central importance in data science is highlighted.
650			_aDatabases
650			_aStatistics--Data processing
650			_aBig data
650			_aInformation theory
999			_c39919 _d39919