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2016 year - 2016 year

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158.00 zł - 159.00 zł

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Real-World Machine Learning

Real-World Machine Learning

Author: Henrick Brink
Joesph Richards
Mark Fetherolf
Publishing date: 2016
DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive amounts of information to offer insights and make decisions in a way that matches or even surpasses human cognitive abilities. These systems use sophisticated computational and statistical tools to build models that can recognize and visualize patterns, predict outcomes, forecast values, and make recommendations.   Real-World Machine Learning is a practical guide designed to teach developers the art of ML project execution. The book introduces the day-to-day practice of machine learning and prepares readers to successfully build and deploy
158.00 zł