This is the code repository for the Second Edition of Machine Learning Engineering with Python, published by Packt. More details are below, pick up your copy today! Manage the production life cycle of ...

This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services. Machine Learning Engineering with ...

This article lists the top MLOps books one should read in 2024 to learn this essential skill. Machine Learning Design Patterns “Machine Learning Design Patterns” covers the most common problems in ...

The book Python Machine Learning, second edition by Sebastian Raschka and Vahid Mirjalili, is a tutorial to a broad range of machine learning applications with Python. It provides a practical ...

Machine learning models are software code developed in languages such as Python and R, constructed with TensorFlow, PyTorch, or other machine learning libraries, run on platforms such as Apache ...

Machine learning experts and MLOps engineers devote a significant amount of work to troubleshooting and enhancing model performance. CI/CD tools save time and automate as much manual work as feasible.

Seldon Alibi is an open-source Python library enabling black-box machine learning model inspection and interpretation. Read more about machine learning and deep learning: Deep learning vs. machine ...

Pune, Feb. 09, 2022 (GLOBE NEWSWIRE) -- Researcher’s, “Machine Learning Operations (MLOps) Market 2022” report provides comprehensive insights about top companies and main competitors in MLOps.

Another significant work, "Building Scalable MLOps: Optimizing Machine Learning Deployment and Operations," presents practical methodologies for developing AI infrastructure that scales seamlessly.

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put ...