You Know You Can't Just Show Your App or Website to Your Friends

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:

• Episode 27: Artificial Intelligence Theory
  • https://www.programmingthrowdown.com/2013/05/episode-27-artificial-intelligence.html
• Episode 28: Applied Artificial Intelligence
  • https://www.programmingthrowdown.com/2013/06/episode-28-applied-artificial.html
• Episode 109: Digital Marketing with Kevin Urrutia
  • https://www.programmingthrowdown.com/2021/03/episode-109-digital-marketing-with.html
    
    

Resources mentioned in this episode:

News/Links:

• Simplify lines with the Douglas-Peucker Algorithm
  • https://ilya.puchka.me/douglas-peucker-algorithm/ 
• How to pick a starter project
  • https://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 1
  • https://www.nasa.gov/artemis-1/
• Visual-IF
  • https://www.visual-if.com/

Book of the Show:

• Jason’s Choice: “The Meditations” by Marcus Aurelius
  • https://amzn.to/3C3Kg7b
• Patrick’s Choice: “Flour, Water, Salt, Yeast” by Ken Forkish
  • https://amzn.to/3CqFwKa

Tool of the Show:

• Jason’s Choice: Pythagorea
  • Android: https://play.google.com/store/apps/details?id=com.hil_hk.pythagorea&hl=en&gl=US
    
    
  • iOS: https://apps.apple.com/us/app/pythagorea/id994864779
    
    
• Patrick’s Choice: Google Keep
  • https://keep.google.com/
    
    

References:

• Clustering: https://en.wikipedia.org/wiki/Cluster_analysis
• Autoencoding: https://en.wikipedia.org/wiki/Autoencoder
• Contrastive Learning: https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607
• Matrix Factorization: https://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems)
• Stochastic factorization: https://link.medium.com/ytuaUAYBjtb
• Deep Learning: https://en.wikipedia.org/wiki/Deep_learning
  
  

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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