Andrew Fairless – Page 79 – Andrew Fairless, Ph.D.

What I Read: Diffusion Map for manifold learning

By Andrew Fairless on December 19, 2020December 8, 2020

https://randomwalk.in/python/ml/2020/03/14/Diffusion-Map.html Diffusion Map for manifold learning, Theory and Implementation “Manifold learning is an approach to non-linear dimensionality reduction…. In this blog, we learn one of the many techniques in manifoldContinue readingWhat I Read: Diffusion Map for manifold learning

What I Read: sub-linear deep learning algorithm

By Andrew Fairless on December 19, 2020December 4, 2020

https://www.kdnuggets.com/2020/03/deep-learning-breakthrough-sub-linear-algorithm-no-gpu.html Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU?By Anshumali Shrivastava, Rice University. “Backpropagation is not an efficient algorithm…. The core idea behind theContinue readingWhat I Read: sub-linear deep learning algorithm

What I Watch: Probabilities of probabilities binomial

By Andrew Fairless on December 18, 2020December 4, 2020

Which rating is better, mathematically speaking? | Probabilities of probabilities, part 1Mar 15, 20203Blue1Brown

What I Read: Introduction to Circuits

By Andrew Fairless on December 18, 2020December 4, 2020

https://distill.pub/2020/circuits/zoom-in/ Zoom In: An Introduction to CircuitsBy studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks. “In contrast to the typical picture ofContinue readingWhat I Read: Introduction to Circuits

What I Read: Transformers Graph Neural Networks

By Andrew Fairless on December 17, 2020December 4, 2020

https://graphdeeplearning.github.io/post/transformers-are-gnns/ Transformers are Graph Neural NetworksChaitanya JoshiFeb 12, 2020 “Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behindContinue readingWhat I Read: Transformers Graph Neural Networks

What I Read: doctor, one story at a time

By Andrew Fairless on December 17, 2020December 4, 2020

https://www.vox.com/the-highlight/2020/2/27/21152916/rita-charon-narrative-medicine-health-care This doctor is taking aim at our broken medical system, one story at a timeby Sigal SamuelMarch 5 2020 4:35 PM “Today, it’s painfully clear that health care isContinue readingWhat I Read: doctor, one story at a time

What I Read: Does Time Really Flow?

By Andrew Fairless on December 16, 2020December 4, 2020

https://www.quantamagazine.org/does-time-really-flow-new-clues-come-from-a-century-old-approach-to-math-20200407/ theoretical physicsDoes Time Really Flow? New Clues Come From a Century-Old Approach to Math.The laws of physics imply that the passage of time is an illusion. To avoid thisContinue readingWhat I Read: Does Time Really Flow?

What I Read: Neural State Machine

By Andrew Fairless on December 16, 2020December 4, 2020

https://arxiv.org/abs/1907.03950 Learning by Abstraction: The Neural State MachineDrew A. Hudson, Christopher D. Manning “We introduce the Neural State Machine, seeking to bridge the gap between the neural and symbolic viewsContinue readingWhat I Read: Neural State Machine

What I Read: Kids’ brains building AI

By Andrew Fairless on December 15, 2020December 3, 2020

https://www.vox.com/future-perfect/2019/2/28/18239993/artificial-intelligence-children-machine-learning-alison-gopnik-psychology Kids’ brains may hold the secret to building better AIby Sigal Samuel “It’s called Moravec’s paradox: The things we thought would be hard — like playing chess — areContinue readingWhat I Read: Kids’ brains building AI

Author: Andrew Fairless