We agree all datasets should be RAD! RAD means a dataset has to be Representative of the real world, have Accurate taxonomy and annotations, and include Difficult edge cases. #AI#MLventurebeat.com/2022/02/05/tur…
How well do explanation methods for machine-learning models work? Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
scitechdaily.com/can-we-tell-if…
Why Dataset Quality Matters!
Join our virtual panel discussion and learn about the challenges and latest developments in data annotation and image-based dataset creation.
bit.ly/Learn_More_Abo…
Calling everybody in automotive! Join industry leaders in AI in a panel discussion about the Challenges in Image-Based Dataset Quality for Machine Learning. Register and share your question and insights. bit.ly/challenges-in-…
Panel Discussion: “Challenges in Dataset Quality for Machine Learning” - Industry leaders from Bosch, Zeiss, Hyundai, the MIT-IBM Watson Lab, and Quality Match share their insights and discuss the challenges. #AI#ML#DataScientistbit.ly/Learn-More-and…
Why is dataset quality important? Industry leaders in AI and ML from Bosch, Zeiss, Hyundai Mobis, and the MIT-IBM Watson Lab share their insights. You are welcome to join this free event on January 25.
bit.ly/View-Event-Det…#machinelearning#AI#ML#datascience
Don’t be a false negative! Know your dataset quality. Join our panel discussion where thought leaders in data annotation share their ideas and discuss the challenges in dataset creation for deep learning. More ...
bit.ly/Why_Dataset_Qu…
🗣️ Calling all data scientists to participate in our panel discussion about the importance of dataset quality for machine learning. Join us to gain insights and contribute your experience. Why is dataset quality important?
quality-match.com#AI#ML#Discussion
We are happy to announce that industry leaders in AI and ML agreed to discuss their challenges in the field of dataset creation for deep learning. Join our virtual panel discussion and get answers to your questions.
bit.ly/challenges-in-…
Es wird viel darüber diskutiert was schlechte Datensätze im ML bewirken können. Doch was ist eigentlich ein guter Datensatz? Daniel Kondermann stellte diese pragmatische Frage schon vor über zehn Jahren.
heise.de/hintergrund/It…
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