Books / AI and ML / MLOps

AI and ML

All Programming languages 1843AI and ML 868Software Development 593Algorithms and theory 547WEB development 462DevOps and Infrastructure 330Other 257Cybersecurity 232OS and System 207Game development 187Databases 157Embedded systems 150IT management 108
All Data Science 291Machine learning 168LLM 126Neural networks 96Computer Vision 41ChatGPT 39TensorFlow 30PyTorch 22Natural Language Processing 20MLOps 18熊猫 9AI Agents 1
All 2026 22025 32024 32023 72022 12021 12020 1
EN
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

A

Pavan Kumar Narayanan

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

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

A

Hien Luu, Max Pumperla, Zhe Zhang

AI and ML
EN
LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

A

Paul Iusztin, Maxime Labonne

AI and ML

PDF quality score:

A Excellent — copyable text, TOC, metadata B Good — text present, some data missing C Average — text is partially extractable D Poor — most likely a scan F Scan without OCR — text cannot be extracted