Инфраструктура машинного обучения и лучшие практики для инженеров-программистов

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

Machine Learning for Engineers: Principles and Algorithms through Signal Processing and Information Theory

Osvaldo Simeone

Practical Machine Learning on Databricks

Debu Sinha

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

Hien Luu, Max Pumperla, Zhe Zhang

The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

Marco Scutari, Mauro Malvestio

Data Engineering for Machine Learning Pipelines: от библиотек Python до ML-пайплайнов и облачных платформ

Pavan Kumar Narayanan

Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner

Machine Learning for High-Risk Applications: Approaches to Responsible AI

Patrick Hall, James Curtis, Parul Pandey

Building Machine Learning Powered Applications: Going from Idea to Product

Emmanuel Ameisen

Mueller J. P., Massaron L. - Machine Learning For Dummies, 2nd Edition - 2021