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Machine Learning

Tilburg University (UVT)

Here are the best resources to pass Machine Learning. Find Machine Learning study guides, notes, assignments, and much more.

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Data Science: Machine Learning 2017/2018 - Summary Lectures

  • Data Science: Machine Learning 2017/2018 - Summary Lectures

  • Summary • 32 pages • 2018
  • Full summary including an introduction of Machine Learning and algorithms, such as Decision Tree, Perceptron, Gradient Descent, Logistic Regression (classifier) and Neural Networks. This summary also includes a section about Feature Engineering. Extra context and illustrations/graphs are also given, which makes this field of study a bit more understandable.
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Full summary Machine Learning

  • Full summary Machine Learning

  • Summary • 14 pages • 2018
  • Available in package deal
    • Complete and comprehensive summary of the basic principles of machine learning, including k-nn, decision trees, perceptron, gradient descent, logistic regression and neural networks. Includes illustrations for clarification. from 2016-2017.
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