If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the ...

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 ...

Further, Julia’s parallelization syntax is less top-heavy than Python’s, lowering the threshold to its use. Julia is developing its own native machine learning libraries.

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 ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Courses cover beginner-level topics such as data visualization with Python as well as advanced Python and machine learning concepts. Each course varies in length, from less than one hour to 23 hours.

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

This workshop, presented by the IMF Statistics Department, is aimed at country officials from NSOs and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data ...