Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

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

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.

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 ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

While Ronacher contributes little to Flask today – because new Python features for data science don't interest him – it's become popular for deploying machine-learning models thanks to an ...

There's already support for Python in Azure Machine Learning Studio, and in August the company announced full Azure Machine Learning support for PyTorch 1.2, a machine-learning framework for ...