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| #11139 in Books | 2015-09 | 2015-09-23 | Original language:English | PDF # 1 | 9.25 x1.03 x7.50l,2.08 | File type: PDF | 454 pages||272 of 285 people found the following review helpful.| IF YOU OWN ONE PYTHON ML BOOK, THIS SHOULD BE IT!|By Jason Wolosonovich|First some general, higher-level thoughts and comments before I dive into specifics:
MY BACKGROUND: Data Scientist; B.S. in Economics and M.S. in Business Analytics; experienced (though by no means expert) user of Scikit-learn
OVERALL THOUGHTS: I've purchased and read (vi|About the Author||Sebastian Raschka |Sebastian Raschka is a PhD student at Michigan State University, who develops new computational methods in the field of computational biology. He has been ranked as the number one most influential data scientist on Git
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics
About This Book
Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms
Ask – and answer – tough questions of your data with robust statistical model...
You can specify the type of files you want, for your device.Python Machine Learning | Sebastian Raschka. I was recommended this book by a dear friend of mine.
