[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/
[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
How Netflix Scales its API with GraphQL Federation (Part 2)
https://netflixtechblog.com/how-netflix-scales-its-api-with-graphql-federation-part-2-bbe71aaec44a
Medium
How Netflix Scales its API with GraphQL Federation (Part 2)
Learn what’s needed to migrate to and run a federated GraphQL API platform successfully.
[Article]
Pinot Real-Time Ingestion with Cloud Segment Storage
https://eng.uber.com/pinot-real-time-ingestion/
Pinot Real-Time Ingestion with Cloud Segment Storage
https://eng.uber.com/pinot-real-time-ingestion/
Uber Blog
Pinot Real-Time Ingestion with Cloud Segment Storage | Uber Blog
Apache Pinot is an open source data analytics engine (OLAP), which allows users to query data ingested from as recently as a few seconds ago to as old as a few years back. Pinot’s ability to ingest real-time data and make them available for low-latency queries…
[Article]
An attempt at demystifying graph deep learning
https://ericmjl.github.io/essays-on-data-science/machine-learning/graph-nets/
An attempt at demystifying graph deep learning
https://ericmjl.github.io/essays-on-data-science/machine-learning/graph-nets/
[Video][Course]
Stanford CS124 fresh course is available
https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA
Stanford CS124 fresh course is available
https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA
[Video][Playlist]
AMMI Geometric Deep Learning Course (2021) Graduation cap
New course on geometric deep learning with topics ranging from geometric priors to manifolds and meshes to several applications.
https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3
AMMI Geometric Deep Learning Course (2021) Graduation cap
New course on geometric deep learning with topics ranging from geometric priors to manifolds and meshes to several applications.
https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3
YouTube
AMMI Geometric Deep Learning Course - First Edition (2021)
Video recording of the First Edition of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021. Lectur...