000			01599nam a2200229Ia 4500
003			NULRC
005			20250520102818.0
008			250520s9999 xx 000 0 und d
020			_a9781784399689
040			_cNULRC
050			_aQA 76.9 .G65 2016
100			_aGollapudi, Sunila _eauthor
245		0	_aPractical machine learning / _cSunila Gollapudi
260			_aBirmingham, UK : _bPackt Publishing, Limited, _cc2016
300			_axvi, 433 pages : _billustrations ; _c24 cm.
365			_bUSD94.53
504			_aIncludes index.
505			_aChapter 1. Introduction to machine learning -- Chapter 2. Machine learning and large-scale datasets -- Chapter 3. An introduction to Hadoop's architecture and ecosystem -- Chapter 4. Machine learning tools, libraries, and frameworks -- Chapter 5. Decision tree based learning -- Chapter 6. Instance and Kernel methods based learning -- Chapter 7. Association rules based learning -- Chapter 8. Clustering based learning -- Chapter 9. Bayesian learning -- Chapter 10 : Regression based learning -- Chapter 11. Deep learning -- Chapter 12. Reinforcement learning -- Chapter 13. Ensemble learning -- Chapter 14. New generation data architectures for machine learning.
520			_aThis book explores an extensive range of machine learning techniques, uncovering hidden tips and tricks for several types of data using practical real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles.
650			_aMACHINE LEARNING
942			_2lcc _cBK
999			_c15944 _d15944