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

Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Here's a selection of real-world machine learning problems that we can help you to solve in a more open and customizable way. In this post we will first look at some well known and understood examples of machine learning problems in the real world. Can you share your experience / opinion about using Haskell in a real-world projects? Real world machine learning applications typically consist of many components in a data processing pipeline. Are you happy about your choice? 4 Model evaluation and optimization. Most of the lectures were about a real world machine learning problem: finding and OCRing text in photographs. Jan 21, 2015 - 68 min - Uploaded by O'ReillyOriginally aired on August 21, 2014. I've almost finished the Stanford Machine Learning Course from Andrew Ng. Machine learning isn't a set-it-and-forget-it operation. Because, increasingly, machine learning is eating the world.