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Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations

Flipboard

Therefore, we developed a machine learning model to diagnose stroke in patients with acute neurological manifestations in the ICU.

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Meet the Visiting Research Professor: Arian Maleki

NYU Center for Data Science

Currently an associate professor in the Department of Statistics at Columbia University, Arian’s research interests include high-dimensional statistics, computational imaging, compressed sensing, and machine learning. Prior to his work at Columbia, Arian was a postdoctoral scholar at Rice University.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season.

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GenAI: How to Synthesize Data 1000x Faster with Better Results and Lower Costs

ODSC - Open Data Science

The full details are in my new book “Statistical Optimization for Generative AI and Machine Learning”, available here. I first focus on evaluation, and then on fast architecture. I provide a brief overview only. Vincent’s past corporate experience includes Visa, Wells Fargo, eBay, NBC, Microsoft, and CNET.

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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. In 2020, our team launched DataRobot Visual AI. We embedded best practices and various deep learning models to support image data. With frameworks like Tensorflow , Keras , Pytorch, etc.,

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Journal of machine learning research 9, no.

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Calibration Techniques in Deep Neural Networks

Heartbeat

International conference on machine learning. Advances in Neural Information Processing Systems 33 (2020): 15288–15299. [10] Measuring Calibration in Deep Learning. Finally, we explained about a few calibration techniques that can enable neural networks to output reliable and interpretable confidence estimates.