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

Ray is part of an ecosystem of packages that allow you to scale out workloads based on hyperparameter optimization, reinforcement learning, and deep learning. While it has its place in the data ...

According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

Level 2 is continual learning: ML systems that incorporate new data and update in real-time, for which she defines real-time to be in the order of minutes.

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem.

A Python package called hls4ml enables more efficient prototyping of machine learning (ML) algorithm implementations by translating models written in popular open-source languages such as PyTorch and ...

Before data scientists can run machine learning models to tease out insights, they’re first going to need to transform the data—reformatting it or perhaps correcting it—so it’s in a ...

New and seasoned data scientists can utilize ELI5 thanks to its simple user interface. 6. Eli5 ELI5 is a Python package that helps to debug machine learning classifiers and explain their predictions.

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

Python’s popularity in the data science and machine learning communities, combined with the ease of use and extensive documentation of NLTK, has made it a go-to choice for many NLP projects.

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 ...