Andrew Yan-Tak Ng is a Chinese American computer scientist and entrepreneur. He is one of the most influential minds in Artificial Intelligence and Deep Learning. Ng co-founded and led Google Brain and was a former VP & Chief Scientist at Baidu, building the company's Artificial Intelligence Group into several thousand people. He is an adjunct professor (formerly associate professor and Director of the AI Lab) at Stanford University. Ng is also an early pioneer in online learning - which led to the co-founding of Coursera.

Andrew believes everyone is qualified for a career in machine learning! Whatever your current level of knowledge, so long as you keep working hard and keep learning, you can become expert in machine learning and have a great career there. He believes it’s really not a matter of whether you’re qualified to work in machine learning! It’s just a matter of getting the learnings to make yourself more and more qualified.

The Five Steps

  • Start with learning to code.
  • When you’ve mastered the basics of programming, consider the Machine Learning course (Machine Learning | Coursera), then the Deep Learning specialization (deeplearning.ai).
  • To go even further, read research papers (follow ML leaders on social media to see what papers they’re excited about).
  • Even better, try to replicate the results in the research papers. Trying to replicating others’ results is a one of the most effective but under-appreciated ways to get good at AI.
  • Also consider activities like online ML competitions, academic conferences, and keep reading books/blogs/papers.
Photo credit: wired.com

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