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2026/04/29 19:56
Lecture 07 - Regression models
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emilian.radoi
2026/04/29 09:17
Catalog
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laura.ruse
2026/04/29 08:57
Cursuri CC
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mihaela.balint
2026/04/29 08:56
pp:26:cursuri:mihaela:curs14-solved.hs
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mihaela.balint
2026/04/29 08:18
Lecture 9. AI & ML for IoT Systems
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laura.ruse
2026/04/29 08:17
SRIC Administrative Resources
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laura.ruse
2026/04/29 08:16
Lecture 10. Zephyr
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laura.ruse
2026/04/29 08:16
Lecture 10. RTOS for IoT
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laura.ruse
2026/04/27 23:36
Paradigme de Programare CA|CB|CC
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andrei.olaru
2026/04/27 21:39
Cursul 8. Măsurarea performanței
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dan.tudose
2026/04/27 18:24
sidebar
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andrei.olaru
2026/04/27 18:21
Laborator 8: Implementarea unui pipeline CI/CD pentru aplicația mobilă
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ciprian.popescu0411
2026/04/27 17:59
pp:26:laboratoare:racket:legare:lexical-binding-example.png
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andrei.olaru
2026/04/27 17:59
pp:26:laboratoare:racket:legare:domeniu_vizibilitate.png
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andrei.olaru
2026/04/27 17:59
pp:26:laboratoare:racket:legare:context.png
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andrei.olaru
2026/04/27 17:59
pp:26:laboratoare:racket:legare:dynamic-binding-example.png
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andrei.olaru
2026/04/27 15:55
Haskell: Grafuri funcționale
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mihnea.muraru
2026/04/27 15:55
Haskell: Grafuri funcționale
– [Haskell: Grafuri funcționale]
mihnea.muraru
2026/04/27 15:44
pp:26:teme:haskell:etapa1.zip
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mihnea.muraru
2026/04/27 15:44
pp:26:teme:haskell:etapa2.zip
– created
mihnea.muraru
General Information
Grades
Lectures
Lecture 01.
Lecture 02.
Lecture 03.
Lecture 04.
Lecture 05.
Labs
Lab 01 - Neural Networks in PyTorch
Lab 02 - Convolutional Neural Networks
Lab 03. Semi-Supervised and Self-Supervised Learning
Resources
dataset
StarterPack
Competition
Competition
Teams
Ranking
vss.txt · Last modified: 2024/07/12 17:47 by emilian.radoi
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