The data science handbook / by Field Cady.
Material type: TextPublication details: Hoboken: Wiley, c2017Description: xviii, 396 pages : ill. 24 cmISBN:- 9781119092940
- QA76.9.D32 C33 2017
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Books | Zetech Library - TRC General Stacks | Non-fiction | QA76.9.D32 .C33 2017 (Browse shelf(Opens below)) | C1 | Available | Z010867 |
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QA76.9 .D3 R6 2011 Database principles : fundamentals of design, implementation and management / | QA76.9 .D3 R6 2011 Database principles : fundamentals of design, implementation and management / | QA76.9 .D3 R6 2011 Database principles : fundamentals of design, implementation and management / | QA76.9.D32 .C33 2017 The data science handbook / | QA76.9.D33 C37 2001 Data abstractions and problem solving with Java / | QA76.9.D33 C37 2001 Data abstractions and problem solving with Java / | QA76.9 .D34 2015 Data science & big data analytics : discovering, analyzing, visualizing and presenting data / |
Includes Bibliographies Index.
Includes bibliographical references and index.
Introduction: Becoming unicorn -- Data science road map -- programming languages -- my personal toolkit -- Visualizations and simple metrics -- machine learning overview -- Interlude: feature extraction ideas -- Technical communication and documentation -- Unsupervised learning: clustering and dimensionality reduction -- Regression -- Data encodings and file formats -- Big data -- Databases -- Software engineering best practices -- Natural language processing -- Time series analysis -- Probability -- Statistics -- Programming language concepts -- performance and computer memory -- Computer and data structures -- Maximum likelihood estimation and optimization -- Advances classifiers -- stochastic modelling.
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