Recent advances in reinforcement learning and their practical applications
Recent advances in teaching machines to learn from very few examples
How federated learning enables machine learning while protecting data privacy
How transfer learning enables efficient model development with limited data
How AutoML tools are making machine learning accessible to non-specialists
Methods for understanding how ML models make decisions and why it matters
