Flipboard

FEBRUARY 2, 2023

The player tracking data contains the player’s position, direction, acceleration, and more (in x,y coordinates). There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. The data distribution for punt and kickoff are different.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

Tableau

JANUARY 27, 2021

In 2020, we added the ability to write to external databases so you can use clean data anywhere. With custom R and Python scripts, you can support any transformations and bring in predictions. Tableau Prep can now be used across more use cases and directly in the browser. And we extended the Prep connectivity options.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

AWS Machine Learning Blog

MAY 5, 2023

update(new_tags_for_fp) # Update tags dataset.set_values("tags", tags, key_field="filepath") Looking at the data, a few things become clear: Some of the images are fairly grainy, with low resolution.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

Tableau

JANUARY 27, 2021

In 2020, we added the ability to write to external databases so you can use clean data anywhere. With custom R and Python scripts, you can support any transformations and bring in predictions. Tableau Prep can now be used across more use cases and directly in the browser. And we extended the Prep connectivity options.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Snorkel AI

MAY 12, 2023

To borrow another example from Andrew Ng, improving the quality of data can have a tremendous impact on model performance. This is to say that clean data can better teach our models. Another benefit of clean, informative data is that we may also be able to achieve equivalent model performance with much less data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

To borrow another example from Andrew Ng, improving the quality of data can have a tremendous impact on model performance. This is to say that clean data can better teach our models. Another benefit of clean, informative data is that we may also be able to achieve equivalent model performance with much less data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52