Chapter
Importance of Data Annotations for Machine Learning Systems
02:04 - 07:43 (05:38)
The success of machine learning systems in real-world applications largely depends on the quality of data annotations, data selection, and the quality of the data. Scale Rapid provides support for various use cases, tasks, and sensors to enhance the annotation process.
Clips
The success of machine learning systems in real-world applications heavily relies on the quality of data annotations, data selection, and the annotations themselves.
02:04 - 05:57 (03:52)
Machine Learning
Summary
The success of machine learning systems in real-world applications heavily relies on the quality of data annotations, data selection, and the annotations themselves. Data annotations account for at least 90% of the value and the ROI in real-world applications of machine learning systems.
ChapterImportance of Data Annotations for Machine Learning Systems
Episode#294 – Tony Fadell: iPhone, iPod, and Nest
PodcastLex Fridman Podcast
Tony Fadal talks with Lex Fridman about his passion for computer engineering and design since his elementary school days, and his journey into becoming a successful computer engineer.
05:57 - 07:43 (01:45)
Computer Engineering
Summary
Tony Fadal talks with Lex Fridman about his passion for computer engineering and design since his elementary school days, and his journey into becoming a successful computer engineer.