The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. In this blog post, we summarize that paper and refer you to it for details. Henne, Dan Sommerfield, Overall Evaluation Criterion , Proceedings 13th Conference on Knowledge Discovery and Data Mining, 2007.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

JULY 22, 2020

Although this blog post makes some specific points about changing assignment weights in an A/B experiment, there is a more general takeaway as well. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. 2015): 37-45. [3] Cambridge University Press, 2015. [6]

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

References [1] Omkar Muralidharan, Amir Najmi "Second Order Calibration: A Simple Way To Get Approximate Posteriors" , Technical Report, Google, 2015. [2] Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3]

KDD 40

KDD Testing Machine Learning Modeling 40

Domino Data Lab

AUGUST 1, 2021

2015) for additional details. Conference on Knowledge Discovery and Data Mining, pp. Neural machine translation by jointly learning to align and translate , ICLR, 2015. The post Explaining black-box models using attribute importance, PDPs, and LIME appeared first on Data Science Blog by Domino. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139