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My workshop on machine learning using python language to implement different algorithms

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Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).

Contents

Part 1: Using existing packages for machine learning (Week 1 to 5)

  • Week 01 and 02: Introduction to Numpy and Matplotlib packages
  • Week 03 and 04: Using Scikit Learn for Supervised Learning
  • Week 05: Using Scikit Learn for Unsupervised Learning

Part 2: Implementing our machine Learning algorithms and models (Week 5 to 10)

  • Week 06: Linear classification
  • Week 07: Implementing Loss functions (Softmax loss and SVM loss)
  • Week 08: Implementing gradient descent, Backpropagation and Artifitial Neural Networks (MLP)
  • Week 09: Advanced topics including dropout, batch normalization, weight initialization and other optimization methods(Adam, RMSProp)
  • Week 10: Inroduction to Deep Learning and implementing a Convolutional Neural Network (CNN) for image classification.

Prerequisites:

  • A basic knowledge of Python programming language.
  • A good understaning of Machine Learning.
  • Linear Algebra

Videos in YouTube (in Persian):

My website Address:

  • containing anything you need to learn and of course to use machine learning in real world applications:
  • http://wwww.snrazavi.ir/

The workshop page on my website:

Note: The materials of this workshop are inspired from awesome lectures presented by Andrej Karpathy at Stanford, 2016.

References: