[Article]
Evolving reinforcement learning

http://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html

[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/

[Article]
Scaling monorepo maintenance

https://github.blog/2021-04-29-scaling-monorepo-maintenance/

Was quite impressed by this work

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

[Article]

Reliability Testing for Natural Language Processing Systems

https://arxiv.org/abs/2105.02590

[Book] Math for machine learning

[GitHub][Security] https://github.com/Azure/SimuLand

[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/

[GitHub]

https://github.com/oceanbase/oceanbase

[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/

[video]
New video from Martin Kleppmann

https://youtu.be/72W_VvFRqc0

[Tools][Twitter] There is a twitter thread about no code tools which I found helpful

https://twitter.com/makadiaharsh/status/1412398931099623430?s=21

[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/

[Article][AWS 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/

[Article][Database] Write a time-series database engine from scratch

https://nakabonne.dev/posts/write-tsdb-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/

[Book]
ML interview book

https://huyenchip.com/ml-interviews-book/

[Article]
How Netflix Scales its API with GraphQL Federation (Part 2)

https://netflixtechblog.com/how-netflix-scales-its-api-with-graphql-federation-part-2-bbe71aaec44a