References#

Books#

  • Harrison, M. (2020). Machine Learning Pocket Reference. O'Reilly Media.

  • Müller, A. C., & Guido, S. (2016). Introduction to Machine Learning with Python. O'Reilly Media.

  • Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O'Reilly Media.

  • Raschka, S., & Mirjalili, V. (2017). Python Machine Learning. Packt Publishing.

  • Kane, F. (2019). Hands-On Data Science and Python Machine Learning. Packt Publishing.

  • McKinney, W. (2017). Python for Data Analysis. O'Reilly Media.

  • Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.

  • Provost, F., & Fawcett, T. (2013). Data Science for Business. O'Reilly Media.

  • Codd, E. F. (1970). A Relational Model of Data for Large Shared Data Banks. Communications of the ACM, 13(6), 377-387.

  • Date, C. J. (2003). An Introduction to Database Systems. Addison-Wesley.

  • Silberschatz, A., Korth, H. F., & Sudarshan, S. (2010). Database System Concepts. McGraw-Hill Education.

Scientific Articles#

  • Lundberg SM, Nair B, Vavilala MS, Horibe M, Eisses MJ, Adams T, Liston DE, Low DK, Newman SF, Kim J, Lee SI. (2018). Explainable machine-learning predictions for the prevention of hypoxaemia during surgery. Nat Biomed Eng. 2018 Oct;2(10):749-760. doi: 10.1038/s41551-018-0304-0.