Henrik Brink, Joseph Richards, Mark Fetherolf , “Real-World Machine Learning”
English | ISBN: 1617291927 | 2016 | PDF/EPUB | 264 pages | 16 MB/7 MB
Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.