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sofia-ml-2024-winter's Introduction

"Machine Learning" Course

Course prepared for Sofia University: Palo Alto facility, January-March 2024 (Winter).

News

  • (2024-01-27) Lecture04 has been added
  • (2024-01-20) Lecture03 has been added
  • (2024-01-16) Lecture02 has been added
  • (2023-12-28) Lecture01 has been added
  • (2023-12-26) Repo has been created

Course program

N Lecture Desctription
01 Introduction Introduction. Course logistics and syllabus. Historical reference. ML Paradigms
02 Supervised Learning Supervised Learning. Features. Loss functions. Cross-validation
03 ML Model Fitting Problems Empirical and Structural Risk. Error Decomposition. Model Selection. Underfitting and overfitting
04 k-NN for Classification Non-parametric Classification: k-NN Method and its variants. Common Metrics. Classification Mean Error

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