Machine Learning and AI Foundations: Causal Inference and Modeling

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Overview

Enroll in our comprehensive course, "Machine Learning and AI Foundations: Causal Inference and Modeling," and delve into the essential modeling techniques and experimental designs that are crucial for establishing causal inference. Enhance your understanding and applications of AI and Machine Learning principles through this targeted program.

Our course covers:

  • Advanced causal inference methods
  • Modeling techniques for robust data analysis
  • Experimental designs for validating causal relationships

Whether you're passionate about Artificial Intelligence, Machine Learning, or Bayesian Statistics, this course provides the foundational knowledge and skill set necessary to excel in these domains. Join us to leverage causal inference and modeling in your AI projects.

Syllabus


Taught by

Keith McCormick


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