After Javier Antich walked us through the AI/ML hype and described the basics of machine learning it was time for a more thorough look at:

• Machine learning techniques, including unsupervised learning (clustering and anomaly detection), supervised learning (regression, classification and generation) and reinforced learning
• Machine learning implementations, including neural networks, deep neural networks and convolutional neural networks.