2015, Knowledge Discovery, Metrics and Testing

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling

Modeling Experimentation Knowledge Discovery Testing

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. After forming the X and y variables, we split the data into training and test sets. 2015) for additional details. random_state=seed) y_train.value_counts(). See Wei et al.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

Experiment design and modeling for long-term studies in ads

Explaining black-box models using attribute importance, PDPs, and LIME

Webinars

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