ACM Webinar: Q&A with Andrew Ng on Building a Career in Machine Learning

When I look at the work that I do in AI, frankly a lot of it is dirty work. It’s downloading that dataset, cleaning that dataset, plotting a learning curve and trying to figure out what’s wrong.

What does it take to build your skills and successfully break into AI? In this ACM webinar on December 4, Andrew gives some tips on how to approach building your career in AI and answers questions from the audience.

Here’s what you’ll learn:

6:42: How to structure your technical portfolio
11:18: The importance of dirty work in AI
12:54: How to adopt a mentality of lifelong learning
16:40: Q&A

Thanks to ACM for hosting and Juan Miguel de Joya for moderating!

ACM Webinar: Q&A with Andrew Ng on Building a Career in Machine Learning

When I look at the work that I do in AI, frankly a lot of it is dirty work. It’s downloading that dataset, cleaning that dataset, plotting a learning curve and trying to figure out what’s wrong.

Want to build your own career in deep learning?

Get started by taking the Deep Learning Specialization!