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First steps in Machine Learning

These lecture slides are from an introductory course on machine learning which I teach at Tilburg University. It does not presuppose any background in math or computer science, but the practical parts do assume basic knowledge of Python.

Lectures

  • Introduction. What is machine learning. Slides
  • Representations. K-Nearest-neighbors. Slides
  • Decision Trees. Slides
  • Perceptron. Slides
  • Gradient descent. Slides
  • Logistic regression. Slides
  • Clustering and unsupervised learning (guest lecture by Afra Alishahi). Slides
  • Neural networks. Slides

Assignment

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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First steps in Machine Learning

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