Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

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.

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

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 ...

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 ...

Repositories with data science focused topics such as deep learning, natural language processing and machine learning have surged in popularity. Jupyter Notebooks has seen growth of more than 100% ...

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

To land a top data science job, it is important to have a solid foundation in key data science skills, including programming, statistics, data manipulation and machine learning.

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 ...

Important Update: Machine Learning Specialization Changes We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor ...