A machine learning algorithm for auto-discovering conserved quantities has been tested on five Hamiltonian systems, including the gravitational 3-body problem. (more…)

Crowdsourcing provides a scalable and efficient way to construct labeled datasets for training machine learning systems. However, creating comprehensive label guidelines for crowdworkers is often prohibitive even for seemingly simple concepts. Incomplete ... (more…)

In machine learning, we typically work with input pairs (x, y), and we try to figure out how x and y depend on each other.To do so, we gather many such pairs... (more…)

Machine learning is an area of high interest among tech enthusiasts. Viewed as a branch of artificial intelligence (AI), it is basically an algorithm or model that improves itself through “learning” and, as a result, becomes increasingly proficient at per... (more…)

This talk was presented at PyCon India 2019, on Oct 12th - 13th, at the Chennai Trade Centre. Website: https://in.pycon.org/2019... (more…)