====================== Schedule 2017 - 2018 ====================== Please have your laptop with you EVERY session. Most often we will do some programming. Please note that in the "Prepare" column video's from the Andrew Ng course are referred to we expect you to view these lectures BEFORE the lecture! In the lectures we start by summarizing the important formulas and discussing any questions. Then we start programming. .. list-table:: :widths: 1 2 3 3 3 3 2 :header-rows: 1 * - No. - Date - Topics - Prepare - LabExercise - Deadlines - Instructor * - 1 - 2017-09-05 Tue - Course Introduction - - - :doc:`Install Python ` - - Gosia/Rein * - 2 - 2017-09-08 Fri - Probability and Python - - :download:`Probability Review ` - `Deep Learning `_ Chapter 3 - sections 1-8 - - Probability - :doc:`Numpy ` - - Rein * - 3 - 2017-09-12 Tue - - Naive Bayes Classification - :doc:`Lecture Notes Probability` - - - Probability & Naive Bayes Classifier - :doc:`Lab Probability ` - - Rein * - 4 - 2017-09-15 Fri - Linear Algebra and Python - - `Deep Learning `_ Chapter 2 - sections 1-3 - - LinAlg in Numpy - - Rein * - 5 - 2017-09-19 Tue - Linear Regression - - - - Rein * - 6 - 2017-09-22 Fri - Multivariate Linear Regression - - - - Rein * - 7 - 2017-09-26 Tue - Logistic Regression - - - - Rein * - 8 - 2017-09-29 Fri - Logistic Regression Probabilistic View - - - - Rein * - 9 - 2017-10-03 Tue - Regularization - - - - Rein * - 10 - 2017-10-06 Fri - Regularization - - - - Rein * - 11 - 2017-10-10 Tue - Lab session - - - Graded LabExercise I - Rein/Gosia * - 12 - 2017-10-13 Fri - Anomaly Detection - - - - Rein * - 13 - 2017-10-17 Tue - Model Selection and Regularization - - - - Rein * - 14 - 2017-10-20 Fri - Midterm Exam - - - - Rein * - 15 - 2017-10-24 Tue - Break - - - - * - 16 - 2017-10-27 Fri - Break - - - - * - 17 - 2017-10-31 Tue - Neural Networks - - - - Gosia * - 18 - 2017-11-03 Fri - Neural Networks - - - - Gosia * - 19 - 2017-11-07 Tue - Bias Variance - - - - Gosia * - 20 - 2017-11-10 Fri - Nearest Neighbor Classification - - - - Gosia * - 21 - 2017-11-14 Tue - Decision Tree Classification - - - - Gosia * - 22 - 2017-11-17 Fri - Lab session/ Intro Project - - - Graded LabExercise II - Gosia * - 23 - 2017-11-21 Tue - Clustering using k-Means and Gaussian Mixtures - - - - Gosia * - 24 - 2017-11-24 Fri - Support Vector Machines for Classification - - - - Gosia * - 25 - 2017-11-28 Tue - ML in Practice - - - - Gosia/Rein * - 26 - 2017-12-01 Fri - Final exam - - - - Gosia * - 27 - 2017-12-05 Tue - Project - - - - Gosia/Rein * - 28 - 2017-12-08 Fri - Project - - - - Gosia * - 29 - 2017-12-12 Tue - Project - - - - Gosia * - 30 - 2017-12-15 Fri - Project - - - - Gosia * - 31 - 2017-12-19 Tue - Project - - - - Gosia * - 32 - 2017-12-22 Fri - Project Presentations - - - Project - Gosia/Rein