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MLT: Course Materials

Lecture Recordings

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  • MLT: Week 1: Introduction, formalization of ML and a simple ML problem
  • MLT: Week 2: Finite PAC learning
  • MLT: Week 3: Bias, VC dimension and algorithms
  • MLT: Week 4: Algorithms
  • MLT: Week 5: Neural networks and Non-Convex optimisation
  • MLT: Week 6: Privacy
  • MLT: Week 7: Privacy preserving Machine learning
  • MLT: Week 8: Fairness
  • MLT: Week 9: Interpretable ML
  • MLT: Week 10: Some Advanced concepts and exam

Book traversal links for MLT: Course Materials

  • MLT: Resource List
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  • MLT: Week 1: Introduction, formalization of ML and a simple ML problem

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  • MLT: Resource List
  • MLT: Course Materials
    • MLT: Week 1: Introduction, formalization of ML and a simple ML problem
    • MLT: Week 2: Finite PAC learning
    • MLT: Week 3: Bias, VC dimension and algorithms
    • MLT: Week 4: Algorithms
    • MLT: Week 5: Neural networks and Non-Convex optimisation
    • MLT: Week 6: Privacy
    • MLT: Week 7: Privacy preserving Machine learning
    • MLT: Week 8: Fairness
    • MLT: Week 9: Interpretable ML
    • MLT: Week 10: Some Advanced concepts and exam
  • MLT: Tutorials
  • MLT: Assessment
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