Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Navigating the ML Life Cycle with ML Solutions Architecture -- ML versus traditional software -- ML life cycle -- Business problem understanding and ML problem framing -- Data understanding and data preparation -- Model training and evaluation -- Model deployment -- Model monitoring -- Business metric tracking -- ML challenges -- ML solutions architecture -- Business understanding and ML transformation -- Identification and verification of ML techniques -- System architecture design and implementation -- ML platform workflow automation -- Security and compliance -- Summary -- Chapter 2: Exploring ML Business Use Cases -- ML use cases in financial services -- Capital market front office -- Sales trading and research -- Investment banking -- Wealth management -- Capital market back office operations -- Net Asset Value review -- Post-trade settlement failure prediction -- Risk management and fraud -- Anti-money laundering -- Trade surveillance -- Credit risk -- Insurance -- Insurance underwriting -- Insurance claim management -- ML use cases in media and entertainment -- Content development and production -- Content management and discovery -- Content distribution and customer engagement -- ML use cases in healthcare and life sciences -- Medical imaging analysis -- Drug discovery -- Healthcare data management -- ML use cases in manufacturing -- Engineering and product design -- Manufacturing operations - product quality and yield -- Manufacturing operations - machine maintenance -- ML use cases in retail -- Product search and discovery -- Targeted marketing -- Sentiment analysis -- Product demand forecasting -- ML use cases in the automotive industry -- Autonomous vehicles -- Perception and localization -- Decision and planning -- Control…”