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

Real-World Machine Learning


Real.World.Machine.Learning.pdf
ISBN: 9781617291920 | 400 pages | 10 Mb


Download Real-World Machine Learning



Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf
Publisher: Manning Publications Company



3-704 In normal software development, programmers create code that, given a certain input, produces a desired output. PredictionIO is an open source machine learning server, and its latest version is built on Apache Spark and MLlib. We will become familiar with real world machine learning in a hands on, intuitive way. Software architect, project lead, data scientist and machine learning enthusiast at Half off my book Real-World Machine Learning today. Presentation: AMPLab | March 4 | 12-1 p.m. Practical machine learning: Tips, tricks and real-world examples for using machine learning in the newsroom. This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. Seeing is believing: the importance of visualization in real-world machine learning applications. Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Real-World Machine Learning: Pre-processing data for modeling http://bit.ly/ 1R9Wlcc. Harshad Saykhedkar's session on “Real World Machine Learning” at The Fifth Elephant 2014 workshop held at TERI on July 24th 2014. Systems For Real World Machine Learning on One Machine (and a cluster too): Talk by Yucheng Low, Dato. 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. Real world machine learning applications typically consist of many components in a data processing pipeline. Taking the real world example of ad placement on web search result pages, this talk (1) provides a real An example of real-life machine learning “system”.





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