PyDataMCR: Unlocking Neural Network Optimization with Neuroevolution 🤖

When Biology Meets Data Science—An Introduction to Neuroevolution:
Tuning the architecture and hyper-parameters of neural networks is no easy feat, requiring near brute force search or optimisation over complex, non-convex spaces. Despite this, evolution managed to do a decent job in designing its own neural networks (our brains), so who is to say we can't use the same approach? In this talk, Tim takes a high-level walk-through of a project he produced based on this idea, introducing the concept of evolutionary algorithms and how they can be applied to the field of deep learning.

SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support.

Thank you to Cathcart Associates, If you are looking for a job in data get in touch at www.cathcartassociates.com

Thank you to Horsefly Analytics, Use accurate talent market data and knowledge to support informed decision-making and drive a big competitive advantage at horseflyanalytics.com