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
Page: 400
Format: pdf
ISBN: 9781617291920

March 1 Real-World Example: Matching Business Listings at GoDaddy. Real-World Predictive Applications Services we will use: Amazon Machine Learning, Amazon Kinesis, AWS Most real-world ML projects have two stages: . 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 is a practical guide designed to teach working developers the art of ML project execution. Machine learning isn't a set-it-and-forget-it operation. Privacy-Preserving Machine Learning. Center for Computational Learning Systems. Applications and strategies for human-in-the-loop machine learning. And concrete examples with 3 real-world machine learning case study problems. Real-world machine learning tasks frequently involve combinatorial structure. Seeing is believing: the importance of visualization in real-world machine learning applications. This course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. Clear advice to help you start and practice applied Machine Learning - fast!