Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
Google has released AutoML service for structured datasets (AutoML Tables, currently in Beta). I’ve compared my open-source AutoML python package mljar-supervised with Google AutoML Tables on 6 datasets from openml.org. The results of Google AutoML Tables are poor (I was using 1-hour training). I think that the reason for poor results is a short training time. I think that the 1-hour of training on 92 machines in parallel is not enough for Google optimization algorithm. I believe they are using some Neural Architecture Search algorithm which is not very efficient. Maybe training for a longer time will give better results but the cost of 1-hour training is ~20USD so it can easily skyrocket.
Here is a link for comparison and review https://mljar.com/blog/mljar-vs-google-cloud-automl-tables/
submitted by /u/pp314159
[link] [comments]