[Article]
Internal consistency in streaming systems
https://scattered-thoughts.net/writing/internal-consistency-in-streaming-systems/
Internal consistency in streaming systems
https://scattered-thoughts.net/writing/internal-consistency-in-streaming-systems/
[Article]
Evolving reinforcement learning
http://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html
Evolving reinforcement learning
http://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html
research.google
Evolving Reinforcement Learning Algorithms
Posted by John D. Co-Reyes, Research Intern and Yingjie Miao, Senior Software Engineer, Google Research A long-term, overarching goal of research i...
[Article]
This article looks at a few approaches Amazon has taken to manage API requests to its systems to avoid overload by implementing API rate limiting (also referred to as “throttling” or "admission control”).
https://aws.amazon.com/builders-library/fairness-in-multi-tenant-systems/
This article looks at a few approaches Amazon has taken to manage API requests to its systems to avoid overload by implementing API rate limiting (also referred to as “throttling” or "admission control”).
https://aws.amazon.com/builders-library/fairness-in-multi-tenant-systems/
Amazon
Fairness in multi-tenant systems
Building fairness into multitenant systems to provide predictable performance and availability
Forwarded from GitHub repos
GoodManWEN/GoodManWEN.github.io
A website simulating linux system's GUI, using theme of Deepin distro.
Language: Vue
#blog #deepin #tailwindcss #vue
Stars: 202 Issues: 0 Forks: 12
https://github.com/GoodManWEN/GoodManWEN.github.io
A website simulating linux system's GUI, using theme of Deepin distro.
Language: Vue
#blog #deepin #tailwindcss #vue
Stars: 202 Issues: 0 Forks: 12
https://github.com/GoodManWEN/GoodManWEN.github.io
GitHub
GitHub - GoodManWEN/GoodManWEN.github.io: 📕 A website simulating linux system's GUI, using theme of Deepin distro. 网页模拟桌面
📕 A website simulating linux system's GUI, using theme of Deepin distro. 网页模拟桌面 - GoodManWEN/GoodManWEN.github.io
[Article]
Reliability Testing for Natural Language Processing Systems
https://arxiv.org/abs/2105.02590
Reliability Testing for Natural Language Processing Systems
https://arxiv.org/abs/2105.02590
[Article][Fraud Detection]
Graph learning methods have been extensively used in fraud detection [2] and recommendation tasks [3]. For example, at Uber Eats, a graph learning technique has been developed to surface the foods that are most likely to appeal to an individual user [4]. Graph learning is one of the ways to improve the quality and relevance of our food and restaurant recommendations on the Uber platform. A similar technology can be applied to detect collusion
https://eng.uber.com/fraud-detection/
Graph learning methods have been extensively used in fraud detection [2] and recommendation tasks [3]. For example, at Uber Eats, a graph learning technique has been developed to surface the foods that are most likely to appeal to an individual user [4]. Graph learning is one of the ways to improve the quality and relevance of our food and restaurant recommendations on the Uber platform. A similar technology can be applied to detect collusion
https://eng.uber.com/fraud-detection/
[Article][Uber engineering][Knowledge base]
Good walkthrough how Uber eng/ml team built knowledge base with notebooks incorporated into it.
https://eng.uber.com/evolution-ds-workbench/
Good walkthrough how Uber eng/ml team built knowledge base with notebooks incorporated into it.
https://eng.uber.com/evolution-ds-workbench/
[Tools][Twitter] There is a twitter thread about no code tools which I found helpful
https://twitter.com/makadiaharsh/status/1412398931099623430?s=21
https://twitter.com/makadiaharsh/status/1412398931099623430?s=21
Twitter
Harsh Makadia
I've reviewed over 150+ no-code / low-code tools. Here are 27 tools that will help you build your MVP, Startup faster! 🚀 These tools are the ultimate hack to web development! 🤩
[Article][AI]
Thanks to Vladimir Sitnikov who reshared that in twitter. Lond read about AI and Art.
https://ml.berkeley.edu/blog/posts/clip-art/
Thanks to Vladimir Sitnikov who reshared that in twitter. Lond read about AI and Art.
https://ml.berkeley.edu/blog/posts/clip-art/
Substack
ML@B Blog | Machine Learning at Berkeley | Substack
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
[Article][AWS Lambda]
How does an AWS lambda look like under the hood?
https://www.bschaatsbergen.com/behind-the-scenes-lambda
How does an AWS lambda look like under the hood?
https://www.bschaatsbergen.com/behind-the-scenes-lambda
[Article][Rendering engine]
Google dec article about rendering engine in blink
https://developer.chrome.com/blog/renderingng/
Google dec article about rendering engine in blink
https://developer.chrome.com/blog/renderingng/
[Article][Database] Write a time-series database engine from scratch
https://nakabonne.dev/posts/write-tsdb-from-scratch/
https://nakabonne.dev/posts/write-tsdb-from-scratch/
Ryo Nakao
Write a time-series database engine from scratch
It covers how to make a time-series database engine from scratch
[Article][Performance]
Examining Problematic Memory in C/C++ Applications with BPF, perf, and Memcheck
https://doordash.engineering/2021/04/01/examining-problematic-memory-with-bpf-perf-and-memcheck/
Examining Problematic Memory in C/C++ Applications with BPF, perf, and Memcheck
https://doordash.engineering/2021/04/01/examining-problematic-memory-with-bpf-perf-and-memcheck/