Kako radi strojno učenje: od podataka do presude

Kako radi strojno učenje prikazuje se kroz ImageNet, AlexNet i COMPAS. Film dokumentira kako trenažni podaci nose prošle nejednakosti i kako vlasnički algoritam s 137 varijabli ne nadmašuje nespecijaliste. Poglavlja 00:00 Broward County, 2013. 02:37 Čovjek koji je prebrojio slike 05:44 Algoritam koji se sam ispravlja 09:04 Devedeset epoha 13:42 Što mjeri mjerilo 17:17 Pogreška koja se množi 21:19 Usporedba dvaju procjenitelja 26:38 Što ostaje u dosjeima Izvori - ProPublica — Machine Bias: Risk Assessments in Criminal Sentencing: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing - ProPublica — How We Analyzed the COMPAS Recidivism Algorithm: https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm - Pebblous AI Blog — Hello, I'm ImageNet — The Dataset That Changed Computer Vision: https://blog.pebblous.ai/story/imagenet-story-pb/en/ - History of Data Science — ImageNet: A Pioneering Vision for Computers: https://www.historyofdatascience.com/imagenet-a-pioneering-vision-for-computers/ - She Writes AI (Substack) — Herstory profile: Fei-Fei Li – The Idea That Changed AI: https://shewritesai.substack.com/p/herstory-profile-fei-fei-li-godmother-of-modern-ai - Devopedia — ImageNet – Devopedia: https://devopedia.org/imagenet - BigGo Finance — Amazon to Shut Down Mechanical Turk on Sept. 30, Closing the Crowdsourcing Platform That Powered ImageNet: https://finance.biggo.com/news/9da8477c-c22f-444e-aa4e-e50e6326a540 - Simon Fraser University (personal academic page) — ImageNet: A Large-Scale Hierarchical Image Database (SFU paper summary): https://www.sfu.ca/~kabhishe/posts/posts/summary_cvpr_imagenet_2009/ - ML Anthology / IEEE — ImageNet: A Large-Scale Hierarchical Image Database – ML Anthology: https://mlanthology.org/cvpr/2009/deng2009cvpr-imagenet/ - Built In — What Is Supervised Learning? (Definition, Examples): https://builtin.com/machine-learning/supervised-learning - IBM — What is Backpropagation?: https://www.ibm.com/think/topics/backpropagation - chsasank.com — Learning representations by back-propagating errors (classic paper reproduction): https://chsasank.com/classic_papers/learning-representations-back-propogating-errors.html - Stanford University CS231n course — Neural Networks: Backpropagation (CS231n): https://cs231n.github.io/optimization-2/ - Codewave — Early Neural Networks in Deep Learning: The Breakthroughs That Built Modern AI: https://codewave.com/insights/early-neural-networks-deep-learning-history/ - IDSIA (Jürgen Schmidhuber) — Who Invented Backpropagation?: https://people.idsia.ch/~juergen/who-invented-backpropagation.html - arXiv / Russakovsky et al. 2015 — ImageNet Large Scale Visual Recognition Challenge (ar5iv/arxiv 1409.0575): https://ar5iv.labs.arxiv.org/html/1409.0575 - Advances in Neural Information Processing Systems 25 (NeurIPS 2012) — ImageNet Classification with Deep Convolutional Neural Networks: https://papers.nips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf - NVIDIA Corporation — NVIDIA GeForce GTX 580 GPU Datasheet: https://www.nvidia.com/docs/IO/100940/GeForce_GTX_580_Datasheet.pdf - Computer History Museum — CHM Releases AlexNet Source Code: https://computerhistory.org/blog/chm-releases-alexnet-source-code/ - ImageNet / image-net.org — Large Scale Visual Recognition Challenge 2012: https://www.image-net.org/challenges/LSVRC/2012/ - Advances in Neural Information Processing Systems 25 (NeurIPS 2012) — ImageNet Classification with Deep Convolutional Neural Networks: https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf - Advances in Neural Information Processing Systems 25 (NeurIPS 2012), Curran Associates — ImageNet Classification with Deep Convolutional Neural Networks: https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf - arXiv / International Journal of Computer Vision (Russakovsky et al. 2015) — ImageNet Large Scale Visual Recognition Challenge: https://ar5iv.labs.arxiv.org/html/1409.0575 - image-net.org — ILSVRC 2012 analysis / competition records: https://image-net.org/challenges/LSVRC/2012/analysis/index - arXiv preprint of: Int J Comput Vis 115, 211–252 (2015), Springer — ImageNet Large Scale Visual Recognition Challenge: https://ar5iv.labs.arxiv.org/html/1409.0575 - d2l.ai (Zhang, Lipton, Li, Smola — open interactive deep learning textbook) — Dive into Deep Learning — 3.6 Generalization: https://d2l.ai/chapter_linear-regression/generalization.html - awesome.papernotes.org (paper analysis blog) — AlexNet — Halving ImageNet Top-5 Error with GPU + ReLU + Dropout (paper notes summary): https://awesome.papernotes.org/en/era2_deep_renaissance/2012_alexnet/ - … Napomene - Naracija: sintetski (AI) glas. Glazba: originalna, sintetizirana za ovaj video. - Sheme su pojednostavljeni prikazi. #dokumentarac #StrojnoUčenje #AIpristranost

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