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Doing data science : Straight talk from the frontline.
Material type:
TextPublication details: Mumbai : O'Reilly, Shroff Publishers & Distributors, 2018.Description: xxiv, 375 p. : ill. ; 23 cmISBN: - 9789351103189
- 006.31 23 ONE
Contents:
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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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Learning Resource Centre | Reserve Books | 006.31 ONE (Browse shelf(Opens below)) | Not for loan | 13801 | ||
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Books
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Learning Resource Centre | 006.31 ONE (Browse shelf(Opens below)) | Available | 13800 | |||
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Books
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Learning Resource Centre | 006.31 ONE (Browse shelf(Opens below)) | Available | 13799 |
Total holds: 0
Includes index.
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.
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