As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise. Anyone with “machine learning” in their job title, or even ...

This as-told-to essay is based on a conversation with Suvendu Mohanty, a 37-year-old machine learning engineer at Amazon. It's been edited for length and clarity. I got my Master's in Computer Science ...

Justin Chen received his PhD in Physics from Rice University before deciding to make the jump from academia to machine learning. He spent the last few years as a Machine Learning Engineer at Manifold, ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand their use of artificial intelligence across product development, ...

The area of machine learning, which is quickly expanding, uses statistical methods and data analysis to teach computers how to learn and make predictions or judgements without being explicitly ...

Getting value from data science requires more than developing the perfect algorithm. In fact, analysis is only one step in the analytics value chain. This class will teach data scientists how to move ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...