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020			_a9789363861817
040			_cAIMIT LIBRARY
082			_21 _a006.31 _bBOWM
100			_aBowles, Michael. _9254161
245			_aMachine learning with spark and python / _bessential techniques for predictive analytics : _cBy Michael Bowles.
250			_a2nd ed.
260			_aNew Delhi : _bWiley , _c2025.
300			_axxix,364p. ; _bPB _c24 cm
500			_aMachine Learning with Spark and Python: Essential Techniques for Predictive Analytics, Second Edition Unlock the power of machine learning with Spark and Python in this updated second edition, designed for practical, real-world applications. This edition introduces Apache Spark, a powerful framework that simplifies processing of large data sets for faster,. With easy-to-follow examples, you'll learn how to implement two key machine learning algorithms using Python code—without needing advanced programming skills. Ideal for students and professionals looking to master ML techniques and boost their data science expertise.
505			_rDr. Michael Bowles (Mike) holds bachelor’s and master’s degrees in mechanical engineering, an ScD in instrumentation, and an MBA. He has worked in academia, technology, and business. Mike currently works with companies where artificial intelligence or machine learning are integral to success. He serves variously as part of the management team, a consultant, or advisor. He also teaches machine learning courses at UC Berkeley and Hacker Dojo, a co-working space and startup incubator in Mountain View, CA.
650			_aThe two essential algorithms for making predictions _9254162
650			_aPenalized linear regression _9254163
650			_aBuilding ensemble models with python _9254164
942			_2ddc _cBK _e2nd _k006.31 BOWM
999			_c240858 _d240858