Real-World Machine Learning by Henrik Brink, Joseph Richards, Mark Fetherolf

Real-World Machine Learning



Download Real-World Machine Learning

Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf ebook
Publisher: Manning Publications Company
Page: 400
Format: pdf
ISBN: 9781617291920


Can machines help us make better decisions? I have tried Recommendation Algorithm and I want to know more so that it gives me more practical exposure to Applied Machine Learning. I've almost finished the Stanford Machine Learning Course from Andrew Ng. PredictionIO is an open source machine learning server, and its latest version is built on Apache Spark and MLlib. Real-World Predictive Applications Services we will use: Amazon Machine Learning, Amazon Kinesis, AWS Most real-world ML projects have two stages: . Richards, and Mark Fetherolf — Chapter 1 is Free. In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component. Next Event for Technology Association of Louisville Kentucky : April 14th. Real-World Machine Learning by Henrik Brink, Joseph W. 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. Migrated from stats.stackexchange.com Sep 19 at 11:58. Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Today I gave a talk on machine learning in the real world at O'Reilly's Strata Conference.





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