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.
Source
Thank you Professor Andrew Ng for spending time helping the ML community move forward.
Subtitles please!!!
Thanks for the video. It motivates me to keep learning ML. 🙂
why do you talk about yourself dear moderator?!?!
I'll build a NN able to count the number of 'hum's pronounced during the call.
Global Machine Learning Market holds the highest CAGR of 44.86% during the forecast period 2019-2025.
Request a sample @ https://www.envisioninteligence.com/industry-report/global-machine-learning-market/?utm_source=yt-hema
When asking questions, the moderator speaks so fast and it affects Andrew. Then Andrew speaks much faster than before.
Ali cloud host as low as 2 fold, quick to buy.
https://promotion.aliyun.com/ntms/act/qwbk.html?UserCode=zs6vwit7
The part that stood out for me was how much Andrew enjoys driving tractors.
I cant build a career in machine learning cause a new technology is introduced everyday and I cant catch up
Great talk, terrible sound
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.
Would have been more good provided a direct interview rather than remote..
11:20 haha!
How do I go from implementing to real ML? I feel less useful just implementing.
RTFDijkstra
سپاسگزارم
آقای اندرو ان جی
Can anyone share links to research papers? Or share how to find and download quality research papers.
i think Andrew Ng is using the same computer he used to record the Coursera ML course videos… audio is terrible!
His is the link (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2203718/pdf/procascamc00012-0328.pdf) to the PDF version of the paper by Dr Andrew NG's father Dr R. P. NG.
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
When people start a confirmation with "no". Smh.
I wish the audio was better
Moderator is anoying