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Andrew Ng on Building a Career in Machine Learning



Association for Computing Machinery (ACM)

Title: Break Into AI: A Q&A with Andrew Ng on Building a Career in Machine Learning
Speaker: Andrew Ng
Date: 12/4/2018

Abstract
Andrew Ng will share tips and tricks on how to break into AI. He will discuss some of the most valuable skills for today’s machine learning engineers, how to gain the experience to successfully switch careers, and how to build a habit of lifelong learning. He will also take questions from aspiring engineers and business professionals who want to work on AI-powered products.

SPEAKER
Andrew Ng, General Partner, AI Fund; CEO, Landing AI;
Adjunct Professor, Stanford University
Dr. Andrew Ng, a globally recognized leader in AI, is a General Partner at AI Fund and CEO of Landing AI. As the former Chief Scientist at Baidu and the founding lead of Google Brain, he led the AI transformation of two of the world’s leading technology companies. A longtime advocate of accessible education, Dr. Ng is the Co-founder of Coursera, an online learning platform, and founder of deeplearning.ai, an AI education platform. Dr. Ng is also an Adjunct Professor at Stanford University’s Computer Science Department.

MODERATOR
Juan Miguel de Joya, UN ITU; ACM Practitioners Board
Juan Miguel de Joya is the in-house consultant for Artificial Intelligence and Emerging Technologies at the United Nations International Telecommunications Union. Prior to this role, he served as a contractor at Facebook/Oculus and Google, worked at Pixar Animation Studios and Walt Disney Animation Studios, and was an undergraduate researcher in graphics at the Visual Computing Lab at the University of California, Berkeley. In his spare time, he is part of the ACM Practitioners Board, the ACM Professional Development Committee, and the ACM SIGGRAPH Strategy Group. His current interests include artificial intelligence, computer vision, mixed reality, computational physics, the web, and the human impact of computing in society at large.

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24 thoughts on “Andrew Ng on Building a Career in Machine Learning
  1. Excellent presentation. The information was highly useful in many ways–for coming up with AI based ideas, for talking with management about AI, for working with engineers on AI projects, for getting the most out of MOOCs and research papers. I don't know about others, but I didn't notice the ums and ahs, and when I do, it's usually because someone had the courage to face their fears and try out public speaking. I believe Andrew was very transparent in sharing his growth in this area. I think interviewing is a great way to get over fear of speaking as is joining Toastmasters. There, they also teach how to stay positive and share suggestions how someone might improve by sandwiching it between two sincere points recognizing what the speaker did particularly well. That keeps the speaker from feeling bullied while helping speakers remember to keep improving both where they're doing well and where they're developing a new skill.

  2. Started with Andrew Ng machine learning course and now I’m doing a masters at St. Andrews in AI. Andrew is a great teacher and role model for the industry.

    Good video with decent insights

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