Interactive ML apps in the browser with zero installation and no server needed? Come to my talk to know how..
Caner Turkmen, Oleksandr Shchur
Learn about #AutoML and @AutoGluon, which can handle a range of tasks from regression to image classification and time series forecasting with state-of-the-art performance. #AutoML #datascience
Dr. Thomas Wiecki
A Bayesian modeling toolkit to solve today's biggest marketing challenges.
We present a Bayesian histogram anomaly detector (BHAD). BHAD scales linearly with the size of the data and allows a direct explanation of individual anomaly scores due to its simple linear form
Tired of having to handle asynchronous processes for neuroevolution? Do you want to leverage high-throughput accelerators for evolution strategies (ES)? evosax allows you to leverage JAX, XLA compilation & auto-vectorization/parallelization to scale ES to accelerators.
What makes or breaks a machine-learning model's decision? Let's use anchor explanations to find out!
HPO does not need to be expensive, see how to speed it up with a couple of simple algorithms
Erin Mikail Staples, Nikolai
While powerful, models built off large datasets like GPT-3 often bring their biases along with them. However, is this the best future for machine learning? Join us to explore Reinforcement Learning from Human Feedback (RLHF) techniques and why they matter more now than ever.
Learn how to use the Python DoWhy library to perform root cause analysis using methods of causal machine-learning.
Have you ever wanted to know the causal effect of an action but A/B testing wasn’t an option? Here’s a brief helicopter tour over quasi-experimental methods that can be used instead!