Causal Modeling In Machine Learning

Issued by Altdeep.ai

Badge-earners completed a twelve-week-long online workshop on causal modeling and causal inference in applied machine learning and data science contexts. Course assessments required the use of Python libraries, including deep probabilistic modeling in PyTorch (Pyro), to implement causal reasoning algorithms. As a result, they have gained the ability to build causal reasoning algorithms into decision-making systems in data science and machine learning teams at top-tier technology organizations.

Type Learning
Level Advanced
Time Months
Cost Paid

Additional Details

Skills

Advanced Data Science
Advanced Machine Learning
Applied Deep Learning
Causal Inference
Probabilistic Modeling

Earning Criteria

Successfully complete a 12-week online code-first workshop that covers core causal modeling fundamentals, applied causal inference techniques, and algorithmic counterfactual reasoning.
Submit coding assignments in Python. Assignments include use of probabilistic modeling in Pytorch to implement causal models. Upon completion, badge-earners complete assessments based on lecture and assignment content.