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

Real-World Machine Learning



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


Applications and strategies for human-in-the-loop machine learning. Machine learning isn't a set-it-and-forget-it operation. 3 covers the basics required to understand machine learning modeling. This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. This course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. 4 Model evaluation and optimization. Real-World Machine Learning by Henrik Brink and Joseph W. March 1 Real-World Example: Matching Business Listings at GoDaddy. Systems For Real World Machine Learning on One Machine (and a cluster too): Talk by Yucheng Low, Dato. Real-world machine learning tasks frequently involve combinatorial structure. Presentation: AMPLab | March 4 | 12-1 p.m. Applications of Machine Learning (ML) are vast and diverse. Machine learning isn't a set-it-and-forget-it operation .





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