Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Using a range of real datasets and basic Python libraries for data manipulation, vector/matrix algebra, and automatic differentiation students will code up - from scratch - fundamental optimization ...

This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You'll learn about supervised vs. unsupervised ...

So you want to make a career in machine learning? The Total Python Machine Learning Bundle will get you up to speed on the current breakthroughs in artificial intelligence. It's your one-stop shop ...

pre-algebra learning outcomes Math 1090 Overview Pre-algebra (Math 1090) enhances students’ basic math skills through the study of key skill strands that are explored across different types of numbers ...

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.

An ongoing series of studies shows students do better when word problems are tailored to their interests.

Mastering concepts incrementally, leveraging interactive tools, and verbalising problem-solving steps enhance understanding. Here are 10 practical hacks to understand and learn algebra with ease.

One of the largest federal experimental trials in nearly a decade shows significant benefits for students in a hybrid-learning algebra program.

Despite the existence of multiple deep learning frameworks, there is a lack of comprehensible and easy-to-use high-level tools for the design, training, and testing of deep neural networks (DNNs) ...