ODSC - Open Data Science

MARCH 22, 2023

This process is entirely automated, and when the same XGBoost model was re-trained on the cleaned data, it achieved 83% accuracy (with zero change to the modeling code). Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies.

ML 88

ML ML AI AI 88

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 93

Cross Validation ML ML Machine Learning 93

Mlearning.ai

JANUARY 26, 2023

It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaned data ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions. For example, vector maps of roads of an area coming from different sources is the raw data. 2018, July). Remote Sensing, 12(24), 4033.

AWS 98

AWS Database Clean Data Data Science 98

Tableau

JANUARY 27, 2021

We also reached some incredible milestones with Tableau Prep, our easy-to-use, visual, self-service data prep product. In 2020, we added the ability to write to external databases so you can use clean data anywhere. Tableau Prep can now be used across more use cases and directly in the browser.

Tableau 70

Tableau Business Intelligence Business Intelligence Analytics 70

Tableau

JANUARY 27, 2021

We also reached some incredible milestones with Tableau Prep, our easy-to-use, visual, self-service data prep product. In 2020, we added the ability to write to external databases so you can use clean data anywhere. Tableau Prep can now be used across more use cases and directly in the browser.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

AWS Machine Learning Blog

MAY 5, 2023

In the following sections, we demonstrate how to do the following: Visualize the dataset in FiftyOne Clean the dataset with filtering and image deduplication in FiftyOne Pre-label the cleaned data with zero-shot classification in FiftyOne Label the smaller curated dataset with Ground Truth Inject labeled results from Ground Truth into FiftyOne and (..)

Machine Learning 75

Machine Learning Machine Learning AWS ML 75

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