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). Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

ML 88

ML ML Data Scientist AI 88

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 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Mlearning.ai

JANUARY 26, 2023

Priorities for Data Cubes evolution Users and developers discussed some of the main trends in the evolution of data cubes and best practices moving forward, such as how to overcome bottlenecks, and key technologies to improve efficiency and accessibility. 2/2) What should be the priority for the data cube evolution? 2018, July).

AWS 98

AWS Database Data Science Clean Data 98

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. He has collaborated with the Amazon Machine Learning Solutions Lab in providing clean data for them to work with as well as providing domain knowledge about the data itself.

ML 90

ML ML Machine Learning Machine Learning 90

How to Learn Machine Learning

OCTOBER 10, 2024

Real-Life Examples of Poor Training Data in Machine Learning Amazon’s Hiring Algorithm Disaster In 2018, Amazon made headlines for developing an AI-powered hiring tool to screen job applicants. Data Quality Factors to Consider So, how can you avoid these types of failures in your ML projects? Sounds great, right?

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. Universities were only just beginning to plan formal academic data science programs, and the skills to be taught in those programs were still being identified. Our paths converge.

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52