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!

 

Want to build your own career in deep learning?

Get started by taking the Deep Learning Specialization!

 

Keep reading

We use cookies to collect information about our website and how users interact with it. We’ll use this information solely to improve the site. You are agreeing to consent to our use of cookies if you click ‘OK’. All information we collect using cookies will be subject to and protected by our Privacy Policy, which you can view here.

OK