Adventures in Machine Learning How does Search Work? - ML 118
Jun 15, 2023
Roman Grebennikov, an expert in ranking algorithms, talks about his open source project MetaRank, the importance of ranking data and feature engineering in search algorithms, the relationship between latency and conversion rates, the role of a principal engineer, responsibilities in machine learning, and the advantages of type languages in search algorithms.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Exploring Compression Types and Open Source Projects
02:28 • 18min
Latency and Conversion Rates
20:00 • 29min
Principal Engineer Role and Top End Devs Membership
49:11 • 3min
Roles and Responsibilities in Machine Learning and Using Slack for Communication
52:30 • 2min
Type languages, latency tolerance, and search algorithms
54:39 • 2min