Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

If there is one prevalent assumption that stands in the way of deeper learning, it is that you have to do “the basics” before you can engage in deeper learning. We see this idea in various guises. One ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

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 it’s done correctly, teaching is both rewarding and complicated. The rewarding part is when we see students achieve or overcome some new learning, whether that’s social-emotional or academic. In ...

AI and deep learning are transforming the way we understand software, used across a broad range of industries to produce hardware like self-driving cars, personal assistant computers, and decision ...