Applied Machine Learning

Daniel Förster

Class Slides

Problem Sheets

Problem Sheet 1

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Notebook: Solution as created in class

Notebook: Load images

Notebook: Byte pair encoding

Problem Sheet 2

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Notebook: Solution as created in class

Notebook: Solution with Adam and different non-linear models

Problem Sheet 3

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Notebook: Solution as created in class

Problem Sheet 4

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Notebook: Solution script from class

Problem Sheet 5

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Notebook: Solution script from class

Datasets

Evaluation

Course Assessment

2 quizzes (25% each)
Final test (50%)

Grades

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Attendance

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Recommended Textbooks

Hastie, Tibshirani, and Friedman: The Elements of Statistical Learning
Sanchez and Marzban: All Models Are Wrong: Concepts of Statistical Learning
Burkov: The Hundred-Page Machine Learning Book
Introduction to Machine Learning, University of Toronto (CSC311)
Introduction to Machine Learning, Stanford University (EE104)
Introduction to Machine Learning and Statistical Pattern Classification, University of Wisconsin–Madison (STAT 451)

Contact

Daniel FORSTER

Email: daniel.forster[at]univ-orleans.fr