essential techniques for predictive analytics Bowles, Michael. creator text New Delhi Wiley 2025 2nd ed. monographic eng

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xxix,364p. ; PB 24 cm Dr. 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. By Michael Bowles. Machine 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. The two essential algorithms for making predictions Penalized linear regression Building ensemble models with python 006.31 BOWM 9789363861817 260209 20260210164451.0