Introduction to Machine Learning

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Content
  • Introduction
  • Data Cleaning
  • Data Visualization
  • Linear Regression
  • Logistic Regression
  • Tree-based Algorithms
  • Support Vector Machine
  • Shrinkage Models
  • Dimensionality Reduction
  • Clustering
Language of instructionEnglish
Bibliography
  • Alpaydin, E. (2014). Introduction to Machine Learning. Third Edition, MIT Press.
  • Hall, J. (2020). Machine Learning in Business: An Introduction to the World of Data Science.Independently published.
  • James, G., Witten, D., Hastie, T., and R. Tibshirani (2013). An Introduction to Statistical Learning: with Applications in R. Springer.
  • Tan, P. N., Steinbach, M., Karpatne, A., & Kumar, V. (2018). Introduction to data mining. Pearson