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

Applications of Machine Learning (ML) are vast and diverse. 3-704 In normal software development, programmers create code that, given a certain input, produces a desired output. I've almost finished the Stanford Machine Learning Course from Andrew Ng. Because, increasingly, machine learning is eating the world. We believe that through this work we have learned a great deal about the difference between academic machine learning and real-world machine learning . Dlib - A toolkit for making real world machine learning and data analysis applications in C++. PredictionIO is an open source machine learning server, and its latest version is built on Apache Spark and MLlib. Journal of Machine Learning Research 15 (2014) 3133-3181. Can machines help us make better decisions? Software architect, project lead, data scientist and machine learning enthusiast at Half off my book Real-World Machine Learning today. Here's a selection of real-world machine learning problems that we can help you to solve in a more open and customizable way. Submitted 11/13 Do we Need Hundreds of Classifiers to Solve Real World. In this post we will first look at some well known and understood examples of machine learning problems in the real world. Real-world machine learning tasks frequently involve combinatorial structure. Intelligent machines: Making AI work in the real world other companies are working on similar real-world applications of machine learning). Today I gave a talk on machine learning in the real world at O'Reilly's Strata Conference.