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Generative AIGenerative AI
+4+4
Leveraging Graphs for Fraud Detection | Biweekly Engineering - Episode 35
Oct 25, 2024

Leveraging Graphs for Fraud Detection | Biweekly Engineering - Episode 35

Fraudsters are hard nuts to crack!

Biweekly Engineering
Biweekly Engineering
Machine LearningMachine Learning
+4+4
Microservice Best Practices | Biweekly Engineering - Episode 26
Jan 28, 2024

Microservice Best Practices | Biweekly Engineering - Episode 26

Machine learning platform at Shopify | Best practices for building microservices | Spotify's experimentation platform

Biweekly Engineering
Biweekly Engineering
GojekGojek
+5+5
Analytics at Scale: How Uber Analyses App Crashes | Biweekly Engineering - Episode 24
Dec 20, 2023

Analytics at Scale: How Uber Analyses App Crashes | Biweekly Engineering - Episode 24

App crashes analytics at Uber | How Gojek built its push notification system | Media search through machine learning at Netflix

Biweekly Engineering
Biweekly Engineering
Machine LearningMachine Learning
+4+4
Evaluation of ML Feature Store at DoorDash - Biweekly Engineering - Episode 15
Jun 12, 2023

Evaluation of ML Feature Store at DoorDash - Biweekly Engineering - Episode 15

How DoorDash built its ML feature store - Anti-Patterns in system development

Biweekly Engineering
Biweekly Engineering
Generative AIGenerative AI
+8+8
Scalable Key-Value Store at Dropbox - Biweekly Engineering - Episode 13
May 16, 2023

Scalable Key-Value Store at Dropbox - Biweekly Engineering - Episode 13

How Dropbox built its own key-value store - ML system development at Airbnb - How generative AI is transforming work for developers

Biweekly Engineering
Biweekly Engineering
Apache KafkaApache Kafka
+7+7
Match Cutting at Netflix - Biweekly Engineering - Episode 7
Feb 05, 2023

Match Cutting at Netflix - Biweekly Engineering - Episode 7

Articles from Netflix and LinkedIn

Biweekly Engineering
Biweekly Engineering
Curated software engineering articles for everyone!

Biweekly Engineering

Curated software engineering articles for everyone!

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