📕 Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications [2022] Chip Huyen 💾 Скачать книгу ▪️ Learn the challenges and requirements of an ML system in production ▪️ Build training data with different sampling and labeling methods ▪️ Leverage best techniques to engineer features for your ML models to avoid data leakage ▪️ Select, develop, debug, and evaluate ML models that are best suit for your tasks ▪️ Deploy different types of ML systems for different hardware ▪️ Explore major infrastructural choices and hardware designs ▪️ Understand the human side of ML, including integrating ML into business, user experience, and team structure #алгоритмы #машинное_обучение #искусственный_интеллект #программирование #python #математика