Erinevus lehekülje "SummerAI" redaktsioonide vahel

Allikas: Kursused
Mine navigeerimisribale Mine otsikasti
7. rida: 7. rida:
 
== Lectures ==
 
== Lectures ==
  
* week 1: Introduction
+
* week 1: [[Media:SummerAI_w1.pdf|Introduction]]
* week 2: Machine Learning
+
* week 2: [[Media:SummerAI_w2.pdf|Machine Learning]]
 
* week 3: Large Language Models
 
* week 3: Large Language Models
* week 4: Technical Aspects of Machine Learning
+
* 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

Redaktsioon: 26. märts 2024, kell 13:04

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.