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AINS6002 Machine Learning & Predictive Modeling
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AINS6002: Machine Learning & Predictive Modeling
Syllabus: AINS6002 Machine Learning & Predictive Modeling
How to Use AINS6002
Technical Requirements and Setup
Authoritative Readings and Resources
Module 1: Prediction tasks and data framing
Module 1 Book Prose
Module 1: Prediction tasks and data framing
Module 1 Narrated Study Guide
Module 1 Rubric
Module 2: Data preparation and feature pipelines
Module 2 Book Prose
Module 2: Data preparation and feature pipelines
Module 2 Narrated Study Guide
Module 2 Rubric
Module 3: Linear and tree-based baselines
Module 3 Book Prose
Module 3: Linear and tree-based baselines
Module 3 Narrated Study Guide
Module 3 Rubric
Module 4: Model selection and validation
Module 4 Book Prose
Module 4: Model selection and validation
Module 4 Narrated Study Guide
Module 4 Rubric
Module 5: Unsupervised learning and structure discovery
Module 5 Book Prose
Module 5: Unsupervised learning and structure discovery
Module 5 Narrated Study Guide
Module 5 Rubric
Module 6: Time, drift, and monitoring
Module 6 Book Prose
Module 6: Time, drift, and monitoring
Module 6 Narrated Study Guide
Module 6 Rubric
Module 7: Interpretability and stakeholder explanation
Module 7 Book Prose
Module 7: Interpretability and stakeholder explanation
Module 7 Narrated Study Guide
Module 7 Rubric
Module 8: Predictive modeling portfolio
Module 8 Book Prose
Module 8: Predictive modeling portfolio
Module 8 Narrated Study Guide
Module 8 Rubric
Index