Quanta Magazine
New Theory Cracks Open the Black Box of Deep Learning
A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.
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builtin.com
Deep Learning Versus Machine Learning: What’s the Difference?
builtin.com
5 min read · 116 saves · Jan 5th · And which should you use?
Massachusetts Institute of Technology (MIT)
“Liquid” machine-learning system adapts to changing conditions
Massachusetts Institute of Technology (MIT)
3 min read · 244 saves · Jan 28th · MIT researchers developed a neural network that learns on the job, not just during training. The “liquid” network varies its equations’ parameters, enhancing its ability to analyze time series data.…
KDnuggets
All Machine Learning Algorithms You Should Know in 2021
KDnuggets
8 min read · 114 saves · Jan 4th · Terence Shin · Many machine learning algorithms exits that range from simple to complex in their approach, and together provide a powerful library of tools for analyzing and predicting patterns from data. If you are…
analyticsvidhya.com
A Quick Overview of Regression Algorithms in Machine Learning
analyticsvidhya.com
5 min read · 88 saves · Jan 10th · The media shown in this article are not owned by Analytics Vidhya and is used at the Author’s discretion. We basically train machines so as to include some kind of automation in it. In machine…
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Artificial Neural Nets Finally Yield Clues to How Brains Learn
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~12 min read · 269 saves · Feb 18th · Anil Ananthaswamy · The learning algorithm that enables the runaway success of deep neural networks doesn't work in biological brains, but researchers are finding alternatives that could.
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