O'Reilly on Data

JANUARY 25, 2021

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data.

Machine Learning 362

Machine Learning Software Testing Technology 362

Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. It leverages expert systems and deep machine learning to provide actionable customer experience insights.

Big Data 79

Big Data Interactive Data-driven Metrics 79

Domino Data Lab

DECEMBER 2, 2020

DBSCAN is implemented in the popular Python machine learning library Scikit-Learn , and because this implementation is scalable and well-tested, I will be using it to demonstrate how DBSCAN works in practice. In machine learning, one of the most basic classification algorithms is k-Nearest Neighbors (k-NN) classification.

Metrics 116

Metrics KDD Testing Machine Learning 116

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98