ODSC - Open Data Science

MARCH 22, 2023

Cleanlab is an open-source software library that helps make this process more efficient (via novel algorithms that automatically detect certain issues in data) and systematic (with better coverage to detect different types of issues). How does cleanlab work?

ML 88

ML ML AI AI 88

How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. By the end, you’ll see why investing in quality data is not just a good idea, but a necessity.

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

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

Mlearning.ai

JANUARY 26, 2023

Video Presentation of the B3 Project’s Data Cube. Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. 2018, July). Giuliani, G.,

AWS 98

AWS Database Clean Data Data Science 98

Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. Each season consists of around 17,000 plays.

ML 80

ML ML Machine Learning Machine Learning 80

AWS Machine Learning Blog

MAY 5, 2023

He holds a PhD in Electrical Engineering from the University of Michigan, where his research was focused on efficient algorithms for large-scale machine learning problems, with a particular emphasis on computer vision applications. Brian Moore is co-founder and CTO of Voxel51, where he leads technical strategy and vision.

Machine Learning 92

Machine Learning Machine Learning AWS ML 92