Open University

Tampere

Introduction to Machine Learning, Lectures

Email: open.studies.tau [at] tuni.fi (open[dot]studies[dot]tau[at]tuni[dot]fi) Phone: 0294 520 881More information concerning Open University studies <a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a>

Intermediate studies

Faculty of Information Technology and Communication Sciences

Technology and Natural Sciences

Data Processing and Information Technology

Apply for Open University studies by using the following links:<ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-72b8663a-da1d-4ed4-8783-c62763234892_2024-tampere-DATAML100" target="_blank">DATA.ML.100 Introduction to Machine Learning, lectures, Tampere</a></li></ul>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

English

Hervanta Campus

Contact teaching

Look information at <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a>.

<ul><li>Linear regression</li><li>Linear classification</li><li>Probabilistic classification</li><li>Neural network learning</li><li>Decision trees and random forests </li><li>Clustering</li><li>Manifold learning </li><li>Reinforcement learning </li></ul>

<h2>Groups</h2><h3>Group 1: </h3>02.09.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) 09.09.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) 16.09.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) 23.09.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) 30.09.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) 07.10.2024 12:00 - 14:00, TAU Tietotalo TC315 tietokoneluokka (16) <h3>Group 2: </h3>03.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 10.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 17.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 24.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 01.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 08.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) <h3>Group 3: </h3>04.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 11.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 18.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 25.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 02.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 09.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) <h3>Group 4: </h3>04.09.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) 11.09.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) 18.09.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) 25.09.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) 02.10.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) 09.10.2024 14:00 - 16:00, TAU Tietotalo TC315 tietokoneluokka (16) <h3>Group 5: </h3>05.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 12.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 19.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 26.09.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 03.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) 10.10.2024 12:00 - 14:00, TAU Tietotalo TC303 tietokoneluokka (16) <h3>Group 6: </h3>05.09.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) 12.09.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) 19.09.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) 26.09.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) 03.10.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) 10.10.2024 14:00 - 16:00, TAU Tietotalo TC303 tietokoneluokka (16) <h3>Group 7: </h3>06.09.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) 13.09.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) 20.09.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) 27.09.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) 04.10.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) 11.10.2024 10:00 - 12:00, TAU Tietotalo TC315 tietokoneluokka (16) <h3>Group 8: </h3>04.09.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) 11.09.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) 18.09.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) 25.09.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) 02.10.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) 09.10.2024 10:00 - 12:00, TAU Tietotalo TC303 tietokoneluokka (16) <h3>Group 9: </h3>05.09.2024 08:00 - 10:00 12.09.2024 08:00 - 10:00 19.09.2024 08:00 - 10:00 26.09.2024 08:00 - 10:00 03.10.2024 08:00 - 10:00 10.10.2024 08:00 - 10:00 <h2>Voluntary</h2><h3>Demo Lecture: </h3>30.08.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 06.09.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 13.09.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 20.09.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 27.09.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 04.10.2024 10:00 - 12:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) <h3>Lecture: </h3>26.08.2024 14:00 - 16:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 29.08.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 02.09.2024 14:00 - 16:00, TAU S&#228;hk&#246;talo SA207 S4 auditorio (176) 05.09.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 09.09.2024 14:00 - 16:00, TAU Konetalo K1705 auditorio (264) 12.09.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 16.09.2024 14:00 - 16:00, TAU Konetalo K1705 auditorio (264) 19.09.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 23.09.2024 14:00 - 16:00, TAU Konetalo K1705 auditorio (264) 26.09.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 30.09.2024 14:00 - 16:00, TAU Konetalo K1705 auditorio (264) 03.10.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209) 07.10.2024 14:00 - 16:00, TAU Konetalo K1705 auditorio (264) 10.10.2024 10:00 - 12:00, TAU Konetalo K1704 auditorio (209)

Machine Learning (ML) is the core technology in Artificial &nbsp;Intelligence (AI), and AI has become an important part of computer &nbsp; science and information technology.Many current technologies, &nbsp;such as autonomous &nbsp;cars, chat bots and delivery robots, cannot be &nbsp;solved using conventional &nbsp;programming. Instead, they can be solved with &nbsp;the help of machine learning.This course gives an introduction to the ML so that the students can use ML to &nbsp;solve data-driven problems, and they are ready to study the more &nbsp;advanced methods of machine learning, that are addressed in the advanced &nbsp;courses.

Finnish

<h2>Prerequisites</h2>Good knowledge about engineering mathematics and programming.<h2>Compulsory Prerequisites</h2><ul><li>Vectors and Matrices, MATH.MA.140, 5 cr</li><li>Programming 1: Introduction to Programming, COMP.CS.100, 5 cr</li></ul>

The course book covering all topics (Finnish only): &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<ul><li>Koneoppimisen perusteet, Joni K&#228;m&#228;r&#228;inen, Gaudeamus 2023 (<a href="https://www.gaudeamus.fi/teos/koneoppimisen-perusteet/" target="_blank" rel="noopener noreferrer">https://www.gaudeamus.fi/teos/koneoppimisen-perusteet/)</a> </li></ul> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Topics are well covered in the following books (PDFs available):<ul><li>Linear regression and classification, probabilistic decision making, neural networks - &nbsp;Pattern Recognition and Machine Learning (2006) by C.M. Bishop (<a href="https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf" target="_blank" rel="noopener noreferrer">PDF</a>) </li><li>Decision trees, reinforcement learning - &nbsp;Machine Learning (1997) by Tom Mitchel (<a href="http://www.cs.cmu.edu/~tom/mlbook.html" target="_blank" rel="noopener noreferrer">PDF</a>)</li><li>Clustering - Statistical Pattern Recognition (2011), 3rd Edition, Andrew R. Webb and Keith D. Copsey (<a href="https://ebookcentral.proquest.com/lib/tampere/detail.action?docID&#61;819173" target="_blank" rel="noopener noreferrer">Library ebook</a>)</li><li>Manifold learning - Scikit-Learn tutorial (<a href="https://scikit-learn.org/stable/modules/manifold.html" target="_blank" rel="noopener noreferrer">Link</a>)</li><li>Random forests - Elements of Statistical Learning , 2nd edition, Trevor Hastie, Robert Tibshirani, Jerome Friedman (<a href="https://hastie.su.domains/ElemStatLearn/%29" target="_blank" rel="noopener noreferrer">PDF</a>)</li></ul>See course Moodle page

Introduction to Machine Learning, Lectures

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Introduction to Machine Learning, Lectures