ENGLISH

Real-World Machine Learning

By Henrik Brink , Joseph Richards , Mark Fetherolf

Book information

Publisher
Manning Publications
Year
2016
Language
english
Format
PDF
Filesize
15 MB (16076785 bytes)
Pages
\266
Time added
2017-07-11 19:05:47

Description

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, youll build skills in data acquisition and modeling, classification, and regression. Youll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When youre done, youll be ready to successfully build, deploy, and maintain your own powerful ML systems.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.Predicting future behaviorPerformance evaluation and optimizationAnalyzing sentiment and making recommendations

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