This 90-minute session introduces participants to the critical topic of model interpretability, focusing on feature importance using SHAP (Shapley Additive explanations).
In this 90-minute hands-on session, you’ll dive deep into creating, manipulating, and performing operations with tensors: the essential data structures behind every modern machine learning model.
This session will introduce you to Convolutional Neural Networks (CNNs): the deep learning architecture that powers technologies like facial recognition, autonomous vehicles, and medical image analysis.
In this 90-minute hands-on session, you’ll learn essential text preprocessing steps like tokenization, padding, and vocabulary building, and see how to turn words into numbers using embedding layers.
In this 90-minute session, you’ll learn the critical hyperparameters that control how your model learns, including optimizers, loss functions, evaluation metrics, and callbacks.