With the recent machine learning boom, more and more algorithms have become available that perform exceptionally well on a number of tasks. But knowing beforehand which algorithm will perform best on your specific problem is often not possible. If you had infinite time at your disposal, you could just go through all of them and try them out. The following post shows you a better way to do this, step by step, by relying on known techniques from model selection and hyper-parameter tuning.
Saturday, February 25, 2017
Sunday, February 19, 2017
In the latest issue of this monthly digest series you can learn what happened at CES 2017, what's new in the world of self-driving cars, and how Intel got all these drones up in the sky during the Super Bowl's Halftime Show.
Monday, February 6, 2017
In the latest edition of this monthly digest series you can learn how dopamine cells influence our perception of time, why researchers are growing brains on a chip, whether split-brain patients have a split consciousness, and much more.