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Get Maximum Value from Your Visual Data

DataRobot

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. In 2020, our team launched DataRobot Visual AI.

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Meet the winners of VisioMel Challenge: Predicting Melanoma Relapse

DrivenData Labs

In 2020, over 325,000 people were diagnosed with skin melanoma, with 57,000 deaths in the same year. In 2020, I participated in the TissueNet competition hosted on DrivenData and the PANDA challenge on Kaggle. My topic is the multimodal analysis of cancer patients' data and more specifically of glioblastoma data using deep learning.

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Calibration Techniques in Deep Neural Networks

Heartbeat

Calibrating deep neural networks using focal loss.” Advances in Neural Information Processing Systems 33 (2020): 15288–15299. [10] Measuring Calibration in Deep Learning. Proceedings of the IEEE international conference on computer vision. 9] Mukhoti, Jishnu, et al. 10] Nixon, Jeremy, et al. CVPR workshops.

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What's your cardiovascular age?

Mlearning.ai

The use of Jupyter Notebooks was done in order to make it possible to train and validate the models on Google Colab in order to get access to free GPUs. doing cross-validation on the training set and a mean absolute error of 8.3 Data Min Knowl Disc 34 , 1936–1962 (2020). years on the test set. Singstad, B.-J.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

For a given frame, our features are inspired by the 2020 Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ): we construct an image for each time step with the defensive players at the rows and offensive players at the columns. Haibo Ding is a senior applied scientist at Amazon Machine Learning Solutions Lab.

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