Software Engineering For Machine Learning: Characterizing And Understanding Mismatch In Ml Systems

2022 30:19
Synopsis
Mismatches between the perspectives and practices of the roles involved in the development and fielding of ML systems—data ...

You Might Also Like

Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems 13:40
Characterizing And Detecting Mismatch In Machine-learning-en...
2022
Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems 18:36
Characterizing And Detecting Mismatch In Machine-learning-en...
2022
Software Engineering for Machine Learning 1:03:11
Software Engineering For Machine Learning
2022
Transitioning from Software Engineering to Machine Learning Engineering 10:19
Transitioning From Software Engineering To Machine Learning ...
2024
Predicting Inference Degradation in Production ML Systems 1:36
Predicting Inference Degradation In Production Ml Systems
2022
Principles and Practices of Building Machine Learning Systems - Camilla Montonen - NDC Oslo 2023 47:34
Principles And Practices Of Building Machine Learning System...
2024
The Truth About Data Science, Analytics, ML, Data Engineering, SWE Careers: Are You Picking Wrong? 18:52
The Truth About Data Science, Analytics, Ml, Data Engineerin...
2026
Learning Software Engineering During the Era of AI | Raymond Fu | TEDxCSTU 12:27
Learning Software Engineering During The Era Of Ai | Raymond...
2026
AI vs ML vs Generative AI 0:47
Ai Vs Ml Vs Generative Ai
2026
Software Engineer vs Machine Learning Engineer 0:17
Software Engineer Vs Machine Learning Engineer
2025
OpenAI's CEO on What Kids Should Be Studying 0:36
Openai's Ceo On What Kids Should Be Studying
2024
Download Options
Choose a download method below. All links open in new tabs.
Service Features Action
SaveFrom
MP4 & MP3 • HD Quality • Browser Extension Available
Download
Security Notice: These are third-party services. We recommend using antivirus software and being cautious of pop-up ads.