Learn more and register: https://statisticalhorizons.com/seminars/machine-learning-for-estimating-causal-effects/
Dive into the first hour of Dr. Ashley Naimi's "Machine Learning for Estimating Causal Effects" seminar!
About this seminar:
In this 14-hour hands-on seminar, Dr. Naimi will show you how to minimize biases that result from improper use of machine learning methods to answer practical questions about cause-effect relations in non-experimental data. Key topics include using machine learning to relax modeling assumptions, avoiding problems resulting from the “curse of dimensionality," employing cutting-edge “double-robust” machine learning methods, and estimating different treatment effects in real and simulated data. The course emphasizes practical application, offering numerous coding examples to help you develop a deep understanding of these techniques.
Register now: https://statisticalhorizons.com/seminars/machine-learning-for-estimating-causal-effects/
🔔 Don't forget to subscribe to our channel for more statistical content and updates!
#MachineLearning #CausalInference #StatisticalHorizons