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Showing posts with the label FastML

It's embarassing, really

In August, we published the first version of goodbooks-10k , a new dataset for book recommendations. By pure chance, that coincided with proclamation of the Kaggle Datasets Awards. Oh, how we hoped to get one! The prize announcement filled us with great sadness, as the Kaggle team chose datasets we would never suspect of having a chance. To be clear, there’s nothing wrong with them. You just could wonder if there weren’t any better choices among over 350 alternatives. Kaggle can give their money to whomever they desire, so let’s familiarize ourselves with the criteria they declared: Quality, impact, and reach, people. The actual winners The dataset that grasped the jury’s attention the most comes from a simulation of a robot holding a ball. This is certainly a groundbreaking work, as far as simulated robot arm kinematics are concerned [ 1 ] [ 2 ] [ 3 ]. Moreover, according to the justification, the dataset combines two exciting fields of research: robotics and deep learning. I...