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In the last video in this series, we started on a quest to clear up the misconceptions between artificial intelligence and machine learning, beginning with discussing supervised learning, an essential foundational building block in understanding the modern field of machine learning.
The focus of this video then will continue right were the last one left off, so sit back, relax and join me once again in an exploration into the field of machine learning - more specifically, unsupervised learning!
00:00 Intro
00:30 - What Is Unsupervised Learning
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Wyldn Pearson
Garry Ttocsra
Brian Schroeder
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Soundtrack ➤
♫ 00;00 "Clair de Lune" by RELAYER
♫ 00;31 "Sun" by HOME
♫ 02;56 "Flood" by HOME
♫ 06;12 "If I'm Wrong" by HOME
♫ 08;46 "Resonance" by HOME
♫ 10;41 "June" by Aire Atlantica
Sources ➤
[1]https://medium.com/machine-learning-for-humans/unsupervised-learning-f45587588294
[2]https://www.freecodecamp.org/news/how-machines-make-sense-of-big-data-an-introduction-to-clustering-algorithms-4bd97d4fbaba/
[3]https://www.naftaliharris.com/blog/visualizing-k-means-clustering/
[4]https://bl.ocks.org/rpgove/0060ff3b656618e9136b
[5]https://prateekvjoshi.com/2014/06/21/what-is-manifold-learning/
[6]https://hackernoon.com/what-killed-the-curse-of-dimensionality-8dbfad265bbe
[7]https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
[8]https://projector.tensorflow.org/
Producer ➤ Ankur Bargotra
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