Optimization with Simulated Annealing

NOTE THE CHANGE FROM OUR USUAL MEETUP TIME!

Details:

Simulated annealing is a probabilistic method for approximating a global optimum in a function. In this event, we will demonstrate the use of the method to solve the traveling salesman problem.

Our speaker:

Dr. Cassie Borish is a data scientist who works with Rho AI to perform data analytics and develop software using machine learning techniques. Cassie holds a BS degree in Engineering from Harvey Mudd College, as well as a MS degree in Electrical Engineering, and MS and PhD degrees in Biomedical Engineering from University of Southern California. Previously, she worked as a data scientist for the tech startup Jobjet, where she developed algorithms to improve recommendations for cost-effective recruiting, sourcing, and sales prospecting.

If you'd like to discuss anything data science related between meetups, join our slack channel: https://join.slack.com/t/scvdatascience/shared_invite/enQtNjkyMzYzMDI5OTczLTkxMjczYmE3ZTI3MWFmYzRjNTg2NTU3ZmQyZWZjYTNkNWQ2MTUxYjg4YzNhZjA0NmM5ZDQ1ZDYxOWQwYzU0NjQ