Reinforcement Machine Learning and Neural Nets

Supervised and unsupervised Machine Learning (ML) use simple mathematical and statistical tools to process data and produce outputs that can help guide decision-making. However, they are relatively modest tools compared to the range of human intelligence. To develop more complex forms of Artificial Intelligence (AI), computer scientists and programmers have created artificial neural networks (neural nets) intended to mimic the functioning of the human brain. These neural nets have led to major advances in deep learning and reinforcement learning, enabling the creation of ever-more sophisticated AI tools.

This course provides an overview of neural nets, deep learning, and reinforcement learning.