Training: What is it, why we need it and how does it work in the world of Machine Learning & AI Tech On Trial

One of the big reason we're able to unlock AI is because of the amount of data we have in the world today.  The Machine Learning models we build use this reference data to predict outcomes, this is why it's called training data.  

This week Victor and Jansen unpack:

- How we use data to predict outcomes
- Caveats and watch outs about the data we choose
- The cost of training and resources
- Transfer learning and how we can leverage pretrained models