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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 received his PhD in Electrical Engineering from Stanford University, completing a dissertation on the “ Approximate message passing algorithms for compressed sensing.” Prior to his work at Columbia, Arian was a postdoctoral scholar at Rice University. He has taught various calculus and statistics courses from PhD to BSc levels.

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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

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? My NoGAN algorithm, probably for the first time, comes with the full multivariate KS distance to evaluate results. There are two aspects to this problem of synthesizing data. It is adjusted for dimension.

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Get Maximum Value from Your Visual Data

DataRobot

it’s possible to build a robust image recognition algorithm with high accuracy. 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.

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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. This is achieved through the Guided GradCAM algorithm ( Ramprasaath et al. ). probability.

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Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.