课程详情
This course with instructor Keith McCormick provides an introduction to some advanced techniques in causal inference and causal modeling. It builds upon a foundation in Keith’s course, Machine Learning and AI Foundations: Prediction, Causality, and Statistical Inference. Keith focuses the course on three major topics: The power of experiments (and the reality that they aren't always available as an option); the Bayesian statistic philosophy and approach and when it's a good choice; and an introduction to causal modeling with techniques like structural equation modeling and Bayesian networks. Join Keith in this course to learn about these advanced techniques and what makes them both powerful and interesting.
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Khaled M. Ali Aklan Albanna
Khaled M. Ali Aklan Albanna
IT Advisor | AI (Expert Systems & Data Science) | Banking and ERP Systems
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内容
课程内容
- 边学边练 1 个练习文件
- 知识测验 5 个测验
- 随时随地学习 可在平板电脑和手机上访问
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