machine learning – Page 52 – Andrew Fairless, Ph.D.

What I Read: Can Neural Networks Show Imagination?

By Andrew Fairless on January 24, 2021December 30, 2020

https://medium.com/dataseries/can-neural-networks-show-imagination-deepmind-thinks-they-can-b3b874aece67 Can Neural Networks Show Imagination? DeepMind Thinks they CanDeepMind has done some of the relevant work in the area of simulating imagination in deep learning systems.Jesus RodriguezSep 14 “IncorporatingContinue readingWhat I Read: Can Neural Networks Show Imagination?

What I Read: Traffic prediction with Graph Neural Networks

By Andrew Fairless on January 23, 2021December 30, 2020

https://deepmind.com/blog/article/traffic-prediction-with-advanced-graph-neural-networks Traffic prediction with advanced Graph Neural Networks “We discovered that Graph Neural Networks are particularly sensitive to changes in the training curriculum… the most successful approach to this problemContinue readingWhat I Read: Traffic prediction with Graph Neural Networks

What I Read: Continual Learning… and the Bridge to Active and Open World Learning

By Andrew Fairless on January 22, 2021December 30, 2020

https://arxiv.org/abs/2009.01797 A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningMartin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan RameshContinue readingWhat I Read: Continual Learning… and the Bridge to Active and Open World Learning

What I Read: Transformer Architecture

By Andrew Fairless on January 21, 2021December 29, 2020

https://blog.exxactcorp.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models/ Deep LearningA Deep Dive Into the Transformer Architecture – The Development of Transformer ModelsMarketing, July 14, 2020 0 11 min readTransformers for Natural Language Processing “There’s no better timeContinue readingWhat I Read: Transformer Architecture

What I Read: why Switch from Jupyter Notebook to Scripts

By Andrew Fairless on January 20, 2021December 28, 2020

https://towardsdatascience.com/5-reasons-why-you-should-switch-from-jupyter-notebook-to-scripts-cb3535ba9c95 5 Reasons why you should Switch from Jupyter Notebook to ScriptsUsing Scripts Helps me Realize the Drawbacks of Jupyter NotebookKhuyen TranAug 24 “If you have just switched from JupyterContinue readingWhat I Read: why Switch from Jupyter Notebook to Scripts

What I Read: testing for machine learning

By Andrew Fairless on January 20, 2021December 28, 2020

https://www.jeremyjordan.me/testing-ml/ Data ScienceEffective testing for machine learning systems.Jeremy Jordan19 Aug 2020 “In this blog post, we’ll cover what testing looks like for traditional software development, why testing machine learning systemsContinue readingWhat I Read: testing for machine learning

What I Read: Autotuning Multi-Objective Optimization

By Andrew Fairless on January 19, 2021December 27, 2020

https://www.kdnuggets.com/2020/08/autotuning-multi-objective-optimization-linkedin-feed-ranking.html Autotuning for Multi-Objective Optimization on LinkedIn’s Feed RankingBy Marco Varela & Mavis Li, LinkedIn “First, we learned that in this particular optimization problem it pays to formulate your problemContinue readingWhat I Read: Autotuning Multi-Objective Optimization

What I Read: Maintaining Machine Learning in Production

By Andrew Fairless on January 19, 2021December 27, 2020

https://eugeneyan.com/writing/practical-guide-to-maintaining-machine-learning/ A Practical Guide to Maintaining Machine Learning in Production “This follow-up will share some practices I’ve found useful to maintaining machine learning in production. They are: Monitor Training andContinue readingWhat I Read: Maintaining Machine Learning in Production

What I Read: Floating-Point and Deep Learning

By Andrew Fairless on January 18, 2021December 27, 2020

https://eigenfoo.xyz/floating-point-deep-learning/ Floating-Point Formats and Deep Learning “Floating-point format is not a crucial consideration in deep learning, but it can make a significant difference. What is floating-point, why should you (aContinue readingWhat I Read: Floating-Point and Deep Learning

What I Read: Improving AI Economics

By Andrew Fairless on January 18, 2021December 27, 2020

https://a16z.com/2020/08/12/taming-the-tail-adventures-in-improving-ai-economics/ Taming the Tail: Adventures in Improving AI Economicsby Martin Casado and Matt Bornstein “Many of the difficulties in building efficient AI companies happen when facing long-tailed distributions of data….Continue readingWhat I Read: Improving AI Economics

Tag: machine learning