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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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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. 1 Melanomas represent 10% of all skin cancers and are the most dangerous due to high likelihood of metastasizing (spreading).

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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. Ismail Fawaz et al.,

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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.