April 16, 2024, 5:17 p.m. | Anand Majmudar

Towards Data Science - Medium towardsdatascience.com

Understanding the power of Lifelong Machine Learning through Q-Learning and Explanation-Based Neural Networks

AI Robot in Space, Generated with GPT-4

How does Machine Learning progress from here? Many, if not most, of the greatest innovations in ML have been inspired by Neuroscience. The invention of neural networks and attention-based models serve as prime examples. Similarly, the next revolution in ML will take inspiration from the brain: Lifelong Machine Learning.

Modern ML still lacks humans’ ability to use past information …

lifelong learning machine learning multitask learning neural networks q-learning

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist (Computer Science)

@ Nanyang Technological University | NTU Main Campus, Singapore

Intern - Sales Data Management

@ Deliveroo | Dubai, UAE (Main Office)