December 2020 – Page 3 – Andrew Fairless, Ph.D.

What I Read: Developers Databases

By Andrew Fairless on December 21, 2020December 9, 2020

https://medium.com/@rakyll/things-i-wished-more-developers-knew-about-databases-2d0178464f78 Things I Wished More Developers Knew About DatabasesJaana B. DoganApr 21 “In data-heavy systems, databases are at the core of system design goals and tradeoffs…. I’m sharing a fewContinue readingWhat I Read: Developers Databases

What I Read: Peer Reviewing Data Science Projects

By Andrew Fairless on December 21, 2020December 9, 2020

https://towardsdatascience.com/peer-reviewing-data-science-projects-7bfbc2919724 Peer Reviewing Data Science ProjectsMaking your work more error-proof using peer scrutinyShay PalachySMar 20 “Peer review is an important part of any creative activity…. The goal of this post,Continue readingWhat I Read: Peer Reviewing Data Science Projects

What I Read: Monitoring Machine Learning Models in Production

By Andrew Fairless on December 20, 2020December 23, 2020

https://christophergs.com/machine%20learning/2020/03/14/how-to-monitor-machine-learning-models/ Monitoring Machine Learning Models in ProductionA Comprehensive Guide14 March 2020 “Once you have deployed your machine learning model to production it rapidly becomes apparent that the work is notContinue readingWhat I Read: Monitoring Machine Learning Models in Production

What I Read: Guide to Graph Neural Networks

By Andrew Fairless on December 20, 2020December 8, 2020

https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783 An Illustrated Guide to Graph Neural NetworksA breakdown of the inner workings of GNNs…Rishabh AnandMar 30 “Here, I’ll cover the basics of a simple Graph Neural Network (GNN) andContinue readingWhat I Read: Guide to Graph Neural Networks

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

Month: December 2020