"Probabilistic Machine Learning" - a book series by Kevin Murphy - probml/pml-book... (more…)

Gradient descent: Step-by-step spreadsheets show you how machines learn without the code. Go under the hood with backprop, partial derivatives, and gradient descent. (more…)

We present IPU Trusted Extensions (ITX), a set of experimental hardware extensions that enable trusted execution environments in Graphcore's AI accelerators. ITX enables the execution of AI workloads with strong confidentiality and integrity guarantees ... (more…)

Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.✏️ Daniel Bourke develo... (more…)

Machine learning (ML) prediction APIs are increasingly widely used. An ML API can change over time due to model updates or retraining. This presents a key challenge in the usage of the API because it is often not clear to the user if and how the ML model ... (more…)