A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts.
Key Features
Popular techniques for problem formulation, data collection, and data cleaning in machine learning.
Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more.
Covers numerous machine