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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. We then explain the details of the ML methodology and model training procedures.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split.

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Deployment of Data and ML Pipelines for the Most Chaotic Industry: The Stirred Rivers of Crypto

The MLOps Blog

2022 will be remembered as a defining year for the crypto ecosystem. And we at deployr , worked alongside them to find the best possible answers for everyone involved and build their Data and ML Pipelines. There’s an old saying in Argentina that goes: “A río revuelto, ganancia de pescadores”. With that out of the way, let’s dig in!

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Announcing the Winners of Invite Only Data Challenge: OCEAN Twitter Sentiment pt. 2

Ocean Protocol

Matin split the journey, dedicating the initial 80% to training (2019–12–30 to 2022–03–28) and the final 20% to evaluation (2022–03–30 to 2022–10–21). This deployed hyperparameters tuning and cross-validation to ensure an effective and generalizable model.

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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. In this post, we deep dive into the technical details of this ML model.

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Calibration Techniques in Deep Neural Networks

Heartbeat

arXiv preprint arXiv:2202.07679 (2022) [3] Gualtieri, J. 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. PMLR, 2017. [2] Anthony, et al. CVPR workshops.

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How to Create a Dataiku Plugin: An Example with NeuralProphet & Snowflake

phData

The platform accomplishes this by using a combination of no-code visual tools, for your code-averse analysts, and code-first options, for your seasoned ML practitioners. You can find the same dataset in the Forecasting Time Series with Visual ML tutorial project provided by Dataiku. What is a Plugin in Dataiku, and Why are They Useful?

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