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 ...

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 ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Many of my colleagues conceptually classify machine learning techniques into three categories: supervised, unsupervised and reinforcement. Data clustering is the primary example of an unsupervised ...

Analyzing Small-to-Medium Datasets When it comes time to develop a codified machine learning pipeline, for datasets that can be handled by a single node, it is hard to beat the Python-based ...

From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects If you’re doing work in statistics, data science, or machine learning, the odds are high ...

Explain Like I’m 5 A Python package called Explain Like I’m 5 (ELI5) seeks to give clear justifications for machine learning models.

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 ...

A Python implementation of the Torch machine learning framework, PyTorch has enjoyed broad uptake at Twitter, Carnegie Mellon University, Salesforce, and Facebook.