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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. Visualizing data using t-SNE.” Selvaraju, Ramprasaath R.,

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Debugging data to build better and more fair ML applications

Snorkel AI

He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. The talk explored Zhang’s work on how debugging data can lead to more accurate and more fair ML applications. Also, the cost of data is also non-trivial.

ML 52
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Debugging data to build better and more fair ML applications

Snorkel AI

He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. The talk explored Zhang’s work on how debugging data can lead to more accurate and more fair ML applications. Also, the cost of data is also non-trivial.

ML 52
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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Classification is very important in machine learning.