Real-World Machine Learning by Henrik Brink, Joseph Richards, Mark Fetherolf
Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf ebook
Publisher: Manning Publications Company
Software architect, project lead, data scientist and machine learning enthusiast at Half off my book Real-World Machine Learning today. Real world machine learning applications typically consist of many components in a data processing pipeline. Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Presentation: AMPLab | March 4 | 12-1 p.m. Can machines help us make better decisions? I have been working on machine learning full-time at Microsoft, early 2007, and built as a team member the following real world applications:. Today I gave a talk on machine learning in the real world at O'Reilly's Strata Conference. 4 Model evaluation and optimization. How to apply Machine Learning to social media to make your customers happy. "The spirals data set was created by the mlbench.spirals function in the mlbench package (Leisch and Dimitriadou 2001). 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. Here's a selection of real-world machine learning problems that we can help you to solve in a more open and customizable way. We have a lot of cool real world datasets and examples for supervised machine learning problems at Kaggle! Systems For Real World Machine Learning on One Machine (and a cluster too): Talk by Yucheng Low, Dato.