Название: Real-World Machine Learning
Автор: Henrik Brink, Joseph Richards, Mark Fetherolf
Издательство: Manning Publications
Год: 2016
Страниц: 264
Формат: PDF
Размер: 15 Mb
Язык: English
Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.