The Deep Learning Dozen
People to Follow on Twitter:
@AndrewYNg: Co-founder of Coursera and former head of Baidu AI, Andrew Ng delivers informative AI machine learning and deep learning courses on Coursera! (Hint: There is a course called “AI For Everyone” you should probably check out!) | |
@drfeifei: Co-Director Sandford Human-Centered AI Institute. She brought us ImageNet over 10 years ago and will be a featured speaker at Grace Hopper 2019 #GHC19. | |
@j2bryson: Professor at Bath University primarily leading research into artificial and natural intelligence. Her Twitter account brings great insights on AI and ethics. | |
@SpirosMargaris: Venture Cabalist and self-proclaimed Futurist, provides a near constant stream of Tweets showing how AI, ML and DL have infiltrated nearly every aspect of our lives. While not technical information, it is helpful to see where and how these technologies have infiltrated every aspect of our lives. | |
@KirkDBorne: Because this list would not be complete without a Space Scientist! Currently, the Principal Data Scientist at @BoozAllen, Kirk provides a good amount of technical information including coding cheat sheets and resources. | |
@Ronald_vanLoon: Ronald is one of the more fun people to follow on Twitter. I am not sure where he finds some of the videos he shares, but he does manage to find some of the best tech and robot videos around. He is one of the most prolific Twitter authors on on all things AI, ML, Big Data and Data Science. His YouTube channel gets a bit more technical and detailed. |
Blogs to Subscribe to:
Sharing concepts, ideas and codes (publishes several times a day) |
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• Distill Machine learning research. (publishes very infrequently, but very deep and informative) |
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Exploring AI and what it means to be human (publishes several times a week) |
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On limits of deep learning and where to go next with AI. (infrequent, but very smart poster) |
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A machine learning craftmanship blog. (posts roughly every two weeks) |
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Jack does a good job of identifying datasets and how they can be useful in solving common problems in AI. |
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- 범주:
- Deep Learning
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