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Meet the Expert: Laurence Moroney on A Programmer’s Guide to Artificial Intelligence

A programmer’s guide to artificial intelligence

Laurence Moroney

If you know code but don’t necessarily know artificial intelligence, this talk is for you. Join expert Laurence Moroney for a “code first” conversation on machine learning and get started on your AI journey, using the skills you already have as a developer.

In just one hour, you’ll get an introduction to the “new” paradigm of machine learning and discover how models can be an alternative to writing if/then rules and other code for some logic scenarios. You’ll leave with a better understanding of TensorFlow concepts such as eager mode, training loops, optimizers, and loss functions.

O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.

What you'll learn-and how you can apply it

By the end of this live show, you’ll better understand:

  • The terminology and concepts central to machine learning

This training course is for you because...

  • You want to learn about the fundamental shifts that are transforming the business landscape and customer needs.


  • Come with your questions for Laurence Moroney
  • Have a pen and paper handy to capture notes, insights, and inspiration

Recommended follow-up:

About your instructor

  • Laurence Moroney is the lead AI advocate at Google. A veteran in the programming and machine learning industry, Laurence has authored over 20 books, including top-selling programming books, science fiction novels, and even movie-related comic books. He teaches the TensorFlow specializations on Coursera with Andrew Ng of deeplearning.ai. A recognized speaker all over the world, Laurence is passionate about demystifying AI and ML for software developers.


The timeframes are only estimates and may vary according to how the class is progressing

Monday, February 3, 2020, at 9:00am PT / 12:00pm ET

  • Introduction and presentation (15 minutes)
  • Interactive discussion and Q&A (45 minutes)