Kelleher, John D.,  1974- <br/><br/>
Data science / 
John D. Kelleher and Brendan Tierney. 
 - 1 PDF (xi, 264 pages) :  illustrations. 
 - The MIT Press essential knowledge series .
 - MIT Press essential knowledge series. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>What is data science? -- What is data and what is a dataset? -- The data science ecosystem -- Machine learning 101 -- Standard data science tasks -- Privacy and ethics -- Future trends and principles of success. 
<br/><br/> Restricted to subscribers or individual electronic text purchasers. 
<br/><br/> A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. 
<br/><br/>
<br/><br/><br/>Mode of access: World Wide Web 
<br/><br/><label>ISBN: </label>9780262347020 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Big data.<br/>Machine learning.<br/>Data mining.<br/>Quantitative research.<br/>Big data.<br/>Data mining.<br/>Machine learning.<br/>Quantitative research.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QA76.9.B45  / K45 2018eb 
<br/><br/><label>Dewey Class. No.: </label>005.7