LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling
LinkedIn Learning
Duration: 2h 51m | Video: 1280x720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 481 MB
Genre: eLearning | Language: English
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.
https://www.linkedin.com/
Links are Interchangeable - No Password - Single Extraction
Free LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling, Downloads LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling, Rapidgator LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling, Mega LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling, Torrent LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling, Google Drive LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling. Feel free to post comments, reviews, or suggestions about LinkedIn - Machine Learning and AI Foundations Causal Inference and Modeling including tutorials, audio books, software, videos, patches, and more.