Machine Learning
Material type: TextPublication details: Chennai McGraw Hill 2018Description: 414pISBN: 9781259096952Subject(s): Machine learning | Computer algorithms DDC classification: 006.31 Summary: This textbook provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed. Several key algorithms, example date sets and project- oriented home work assignments discussed in the book are accessible through the World Wide Web.Item type | Current library | Call number | Status | Date due | Barcode |
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BK | Stack | 006.31 MIT/M (Browse shelf (Opens below)) | Available | 54687 |
Browsing Kannur University Central Library shelves, Shelving location: Stack Close shelf browser (Hides shelf browser)
006.31 KEl/F Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies | 006.31 KEL/M Machine Learning in Production | 006.31 LAN/F Foudations of genetic programming | 006.31 MIT/M Machine Learning | 006.31 MUL/R Relational knowledge discovery | 006.31 OPT optimization for machine learning | 006.31 ROG/F A first course in machine learning / |
This textbook provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed. Several key algorithms, example date sets and project- oriented home work assignments discussed in the book are accessible through the World Wide Web.
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