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

Flipboard

We retrospectively collected data on patients’ underlying diseases, blood coagulation tests, procedures, and medications before neurological symptom onset from 206 patients at the Chungbuk National University Hospital ICU (July 2020–July 2022) and 45 patients at Chungnam National University Hospital between (July 2020–March 2023).

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Meet the Visiting Research Professor: Arian Maleki

NYU Center for Data Science

He has presented at numerous international machine learning conferences such as “ Analysis of the sensing spectrum for signal recovery under the generalized linear models” (NeurIPS, 2021) and “ Error bounds for estimating out-of-sample prediction error using leave-one-out cross-validation in high-dimensions ” (AISTAT, 2020).

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

Flipboard

Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold. For more information on how to use GluonTS SBP, see the following demo notebook.

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

ODSC - Open Data Science

In addition, all evaluations were performed using cross-validation: splitting the real data into training and validation sets, using the training data only for synthetization, and the validation set to assess performance. 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

In 2020, our team launched DataRobot Visual AI. Just like for any other project, DataRobot will generate training pipelines and models with validation and cross-validation scores and rate them based on performance metrics. Image recognition has a lot of applications in industries and businesses. DataRobot Visual AI.

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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. He started at the NFL in February 2020 as a Data Scientist and was promoted to his current role in December 2021.

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Calibration Techniques in Deep Neural Networks

Heartbeat

Advances in Neural Information Processing Systems 33 (2020): 15288–15299. [10] Cross Validated] Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. 9] Mukhoti, Jishnu, et al.