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.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

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.

His argument against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab-like data-analysis powers to Python.

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 ...

A programming course provides students an opportunity to familiarize themselves with coding programs, like Python. Meanwhile, a course in statistics teaches students key metrics by which to analyze ...

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 ...

Citizen developers also need a way to share the outputs from their work with colleagues who don’t want to learn Python, and I expect to see more tools for sharing Python results in productized ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

Both data science and machine learning are highly desired skills from employers, and this bundle covers some of the most important learning frameworks for Python data science, like Tensorflow and ...