O'Neil, Cathy. <br/><br/>
Doing data science :  Straight talk from the frontline. 

 - Mumbai :  O'Reilly,  Shroff Publishers & Distributors,  2018. 
 - xxiv, 375 p. :  ill. ;  23 cm. 
<br/><br/> Includes index. 
<br/><br/>Introduction : What is data science? -- Statistical inference, exploratory data analysis, and the data science process -- Algorithms -- Spam filters, naive bayes, and wrangling -- Logistic regression -- Time stamps and financial modeling -- Extracting meaning from data -- Recommendation engines : building a user-facing data product at scale -- Data visualization and fraud detection -- Social networks and data journalism -- Causality -- Epidemiology -- Lessons learned from data competitions : data leakage and model evaluation -- Data engineering : MapReduce, Pregel, and Hadoop -- The students speak -- Next-generation data scientists, hubris, and ethics. 
<br/><br/><label>ISBN: </label>9789351103189 
<br/><br/><label>Nat. Bib. No.: </label>GBB362256  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>016454088  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Big data.<br/>Information science.<br/>Data structures (Computer science)<br/>Database management.<br/>Cyberinfrastructure.
<br/><br/><label>Dewey Class. No.: </label>006.31  / ONE