ML System Design Question - Create an ETA System for Maps (Full mock interview)
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A research engineer in computer vision designs an ETA system for a maps application: road segments, traffic data, data quality, model training, validation, and deployment.
0:00 - Intro
0:52 - Machine learning system design interview overview
3:50 - Road data prediction with low latency, high performance
5:49 - Key ML sections data setup, training, validation
6:47 - High-level planning for data hygiene, usable data, validation
10:16 - Data map, travel, segment ID
14:46 - Data cleanliness and automated filter implementation
16:58 - Field checking, random sample, human verification
19:06 - Model interface, …
A research engineer in computer vision designs an ETA system for a maps application: road segments, traffic data, data quality, model training, validation, and deployment.
0:00 - Intro
0:52 - Machine learning system design interview overview
3:50 - Road data prediction with low latency, high performance
5:49 - Key ML sections data setup, training, validation
6:47 - High-level planning for data hygiene, usable data, validation
10:16 - Data map, travel, segment ID
14:46 - Data cleanliness and automated filter implementation
16:58 - Field checking, random sample, human verification
19:06 - Model interface, …
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