As we near the end of the decade, Will and Triveni place their bets on the biggest data science trends for 2020- including AutoML, explainable AI, Cloud computing, and federated learning. They’ll also reflect on whether or not the trends of 2019 lived up to their hype.
- Keras inventor Chollet charts a new direction for AI: a Q&A by Tiernan Ray (ZDNet)
- On the Measure of Intelligence by François Chollet (Cornell University)
- Federated Learning: The Future of Distributed Machine Learning by Synced (Medium)
- Optimization over Explanation by David Weinberger (Berkman Klein Center for Internet & Society at Harvard University on Medium)
As we near the end of the decade, Will and Triveni place their bets on the biggest data science trends for 2020- including AutoML, explainable AI, Cloud computing, and federated learning. They’ll also reflect on whether or not the trends of 2019 lived up to their hype.
- Keras inventor Chollet charts a new direction for AI: a Q&A by Tiernan Ray (ZDNet)
- On the Measure of Intelligence by François Chollet (Cornell University)
- Federated Learning: The Future of Distributed Machine Learning by Synced (Medium)
- Optimization over Explanation by David Weinberger (Berkman Klein Center for Internet & Society at Harvard University on Medium)