Artificial Intelligence: possibilities and limitations, a look inside the black box of machine learning
Advances in machine learning in recent years has improved how we are able to aggregate and derive value from big datasets, group data and identify pattens.
How can these advances be made immediately useful to those of us with big datasets available? What are the possibilities now that we have made a large leap? What are the limitations we face in applying the state of the art in machine learning? What is inside the ML "blackbox"? Join as we explore how it works, what the possibilities are, where the limitations lie, and what it means for the world we live in.