Recommendation Systems
Tutorial · Advanced · 12 min
A recommender predicts what a user will like and ranks items by that predicted preference.
RecSysSearch
By: Anacodic Team
Start Reading →Advanced · 8 articles · MODULE 11: SYSTEM DESIGN
Tutorial · Advanced · 12 min
A recommender predicts what a user will like and ranks items by that predicted preference.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 15 min
A social feed decides, in ~200 ms, which of thousands of eligible posts to show you and in what order.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 14 min
A search system turns a query into a ranked list of documents in tens of milliseconds over billions of docs.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 16 min
Fraud detection is heavily imbalanced binary classification under a real-time latency budget: maybe 0.1% of transactions are fraud, so accuracy is a trap (predict "n…
By: Anacodic Team
Start Reading →Tutorial · Advanced · 22 min
Training produces a model once; inference runs it millions of times a day, and that is where the real engineering lives.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 17 min
Every ML-system-design interview is the same seven-step walk applied to a different product.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 21 min
A phone-answering agent is built one of two ways: cascaded speech-to-text to language model to text-to-speech, or a single speech-to-speech model.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 24 min
Before a voice agent can answer, something must decide the caller has finished speaking, and silence alone cannot tell a hesitation from the end of a turn.
Includes Colab notebook
By: Anacodic Team
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