Introduction to data mining and analytics with machine learning in R and Python / Kris Jamsa.
By: Jamsa, Kris.
Publisher: Burlington, Massachusetts : Jones & Bartlett Learning, [2021]Copyright date: ©2021Description: xviii, 668 pages : charts ; 23 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781284180909 (pbk).Subject(s): Data mining | Quantitative research | Machine learning | R (Computer program language) | Python (Computer program language)DDC classification: 006.312 J24| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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College Library General Circulation Section | GC | GC 006.312 J24 2021 (Browse shelf) | Available | HNU003666 |
Includes index.
1. Data mining and analytics -- 2. Machine learning -- 3. Databases and data warehouses -- 4. Data visualization -- 5. Keep Excel in your toolset -- 6. Keep SQL in your toolset -- 7. NoSQL data analytics -- 8. Programming data mining and analytic solutions -- 9. Data preprocessing and cleansing -- 10. Data clustering -- 11. Classification -- 12. Predictive anlytics -- 13. Data association -- 14. Mining text and images -- 15. Big data mining -- 16. Planning and launching a data-mining and data-anaytics project.
Provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and operations, this text comprises a complete how-to and is an excellent resource for anyone considering the field.
College of Engineering and Computer Studies Bachelor of Science in Information Technology
Includes index.
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