CausalML in 60 Minutes
TL;DR: Learn how to estimate heterogeneous treatment effects using CausalML in 60 minutes with hands-on examples including individual-level causal inference on CDC diabetes health data.
TL;DR: Learn how to estimate heterogeneous treatment effects using CausalML in 60 minutes with hands-on examples including individual-level causal inference on CDC diabetes health data.
TL;DR: Learn how to build intelligent data analysis systems with BambooAI in 60 minutes with hands-on examples covering multi-agent workflows, dataframe analysis, and dynamic code generation.
TL;DR: Build a reproducible multi-agent reinforcement learning (MARL) pipeline using TorchRL and PettingZoo's multi-agent particle environment (MPE), train using centralized training, decentralized execution (CTDE), and verify that communication is meaningful using structured diagnostics and causal ablations.
TL;DR: Learn how to build agentic AI systems using AutoGen in 60 minutes with hands-on examples including live market data debates and SEC filing analysis.
TL;DR: Learn how to build machine learning models using TensorFlow in 60 minutes with hands-on examples including neural networks and structural time series forecasting.
TL;DR: Welcome to our new blog where we'll share insights on AI research, machine learning, software engineering, and our experiences in academia and industry.