Machine learning design is a difficult topic. It requires knowledge from
multiple disciplines, such as big data processing, linear algebra, machine
learning and deep learning. This is the first book that focuses on applied
machine learning and deep learning in production. It covers all the design
patterns and state-of-the-art techniques from top companies, such as Google,
Facebook, Amazon, etc.
Who should read this book?
Data scientist, software engineer or data engineer who have a background in
Machine Learning but never work on Machine Learning at scale will find this
book helpful.