Cronograma 2021/03

Schedule:

• 27/09 - Lecture 0 (dates, grades, etc):

  • Slides (link);

  • Video (link).

• 27/09 - Lecture 1 - Introduction:

• Slides (link);

• Videos (link).

04/10 - Lecture 3 - A Tour of Machine Learning Classifiers Using scikit-learn

• Slides (link);

• Videos (link1, link2, link3);

• Codes (link);

• Complementary material for Scikit-learn: link (Part II - L05);

  • Similar material in portuguese: link.

• More detailed information (advanced material):

  • Logistic Regression: video;

  • Linear Support Vector Machines: video;

    • Optimization for SVMs: video1 and video2.

  • Nonlinear Support Vector Machines: video1, video2 and video3;

  • Decision Trees and Random Forest: video1 and video2.

25/10 - Assignment 1 - Python and Machine Learning Basics

• Guide (link).

22/11 - Assignment 2 - Classification with scikit-learn

• Guide (link).

06/12 - Lecture 7 - Implementing a Multilayer Artificial Neural Network from Scratch

• Slides (link);

• Videos (link);

• Codes (link);

• More detailed information (advanced material, including Backpropagation): video.

20/12 - Assignment 4 - Embedded Machine Learning

• Guide (link).