Erinevus lehekülje "SummerAI" redaktsioonide vahel

Allikas: Kursused
Mine navigeerimisribale Mine otsikasti
 
(ei näidata sama kasutaja üht vahepealset redaktsiooni)
7. rida: 7. rida:
 
== Lectures ==
 
== Lectures ==
  
* week 1: Introduction
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* week 1: [[Media:SummerAI_w1.pdf|Introduction]]
* week 2: Machine Learning
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* week 2: [[Media:SummerAI_w2.pdf|Machine Learning]]
* week 3: Large Language Models
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* week 3: [[Media:SummerAI_w3.pdf|Large Language Models]]
* week 4: Technical Aspects of Machine Learning
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* week 4: [[Media:SummerAI_w4.pdf|Technical Aspects of Machine Learning]]
 
* week 5: Ethics and Impact of AI
 
* week 5: Ethics and Impact of AI
 
* week 6: Closed book test
 
* week 6: Closed book test
30. rida: 30. rida:
 
* [[SummerAIlab1|Classical Machine Learning]] (XX.YY)
 
* [[SummerAIlab1|Classical Machine Learning]] (XX.YY)
 
* [[SummerAIlab2|Neural Network]] (XX.YY)
 
* [[SummerAIlab2|Neural Network]] (XX.YY)
* [[SummerAIlab3|LLM themed, to be decided]] (XX.YY)
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* [[SummerAIlab3|Using LLMs through a program]] (XX.YY)
  
 
=== Submitting results ===
 
=== Submitting results ===

Viimane redaktsioon: 11. aprill 2024, kell 05:57

Study materials and assignment instructions.

Schedule: TBD

Lecturer: Priit Järv

Lectures

Assignments

Homework

Complete these as a group, outside the classroom.

Teachable Machine (deadline XX.YY)

Lab Work

Complete these as a group.

For each assigment, write a text file with answers to the questions or results of the lab work. One or more groups will present their results to everyone. There will be a joint discussion.

Submitting results

Where to submit will be clarified before the start of the summer school.

Grading

Your grade will be formed by:

  • 50% participation: actively taking part of solving the homework. Will be self-graded.
  • 50% written test.