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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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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

The accuracy of the ML model indicates how many times it was correct overall. Submission Suggestions Text Classification in NLP using Cross Validation and BERT was originally published in MLearning.ai Precision refers to how well the model predicts a certain category. Smart Grid and Renewable Energy , 07 (12), 293–301.

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How to Use Machine Learning (ML) for Time Series Forecasting?—?NIX United

Mlearning.ai

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. ML-based predictive models nowadays may consider time-dependent components — seasonality, trends, cycles, irregular components, etc. — to

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. values.tolist()) y_train = df_train['agent'].values.tolist()

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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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Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit?—?Part 2 of 3

Mlearning.ai

[link] [link] Prices are climbing up until the Year 2021. Prices have increased till 2021, and after 2021 prices are falling. cross_validation Cross-validation is a resampling method that uses different portions of the data to test and train a model on different iterations.

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Meet the winners of Phase 2 of the PREPARE Challenge

DrivenData Labs

For more practical guidance about extracting ML features from speech data, including example code to generate transformer embeddings, see this blog post ! Next, for participants who had been tested in 2016, I estimated their 2021 scores by adding the predicted score difference to their 2016 scores.