Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

The book “ Introduction to Machine Learning with Python “ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech.