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145: Unsupervised Machine Learning
Programming Throwdown
English - October 24, 2022 15:00 - 1 hour - 117 MB - ★★★★★ - 545 ratingsTechnology Education How To programming throwdown programming languages java python objective c Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Today we discuss adventures, books, tools, and art discoveries before diving into unsupervised machine learning in this duo episode!
00:00:22 Introductions
00:01:28 Email & inbox organization is very important
00:07:28 The Douglas-Peucker algorithm
00:11:48 Starter project selection
00:17:01 Tic-Tac-Toe
00:21:41 Artemis 1
00:26:25 Space slingshots
00:29:47 Flex Seal tape
00:32:38 The Meditations
00:37:58 Flour, Water, Salt, Yeast
00:40:55 Pythagorea
00:46:13 Google Keep
00:48:05 Visual-IF
00:50:49 Data insights
01:03:07 Self-supervised learning
01:10:26 A practical example of clustering
01:15:10 Word embedding
01:24:02 Farewells
Want to learn more? Check out these previous episodes:
Resources mentioned in this episode:
News/Links:
Simplify lines with the Douglas-Peucker Algorithmhttps://ilya.puchka.me/douglas-peucker-algorithm/ How to pick a starter projecthttps://amir.rachum.com/blog/2022/08/07/starter-project/Tic-Tac-Toe in a single call to printf()https://github.com/carlini/printf-tac-toe Artemis 1https://www.nasa.gov/artemis-1/Visual-IFhttps://www.visual-if.com/Book of the Show:
Jason’s Choice: “The Meditations” by Marcus Aureliushttps://amzn.to/3C3Kg7bPatrick’s Choice: “Flour, Water, Salt, Yeast” by Ken Forkishhttps://amzn.to/3CqFwKa
Tool of the Show:
iOS: https://apps.apple.com/us/app/pythagorea/id994864779
Patrick’s Choice: Google Keephttps://keep.google.com/
References:
Clustering: https://en.wikipedia.org/wiki/Cluster_analysisAutoencoding: https://en.wikipedia.org/wiki/AutoencoderContrastive Learning: https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607Matrix Factorization: https://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems)Stochastic factorization: https://link.medium.com/ytuaUAYBjtbDeep Learning: https://en.wikipedia.org/wiki/Deep_learningIf you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/
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