Domino Data Lab

MAY 20, 2021

Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Machine learning for the detection of oil spills in satellite radar images. 30(2–3), 195–215. link] Ling, C. X., & Li, C. Quinlan, J. Smith, J.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

References [1] Henning Hohnhold, Deirdre O'Brien, Diane Tang, Focus on the Long-Term: It's better for Users and Business , Proceedings 21st Conference on Knowledge Discovery and Data Mining, 2015. [2] 2] Ron Kohavi, Randal M.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

JULY 22, 2020

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2] Scott, Steven L. armed bandit experiments in the online service economy." 2015): 37-45. [3]

Experimentation 95

Experimentation Statistics Testing Knowledge Discovery 95

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

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] 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

JANUARY 14, 2016

References [1] Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Experimentation 41

Experimentation Statistics Metrics Measurement 41

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

References [1] Diane Tang, Ashish Agarwal, Deirdre O’Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Experimentation 40

Experimentation Statistics Metrics Measurement 40

Domino Data Lab

AUGUST 1, 2021

Conference on Knowledge Discovery and Data Mining, pp. Guestrin, C., Why should I trust you?: Explaining the predictions of any classifier , Proceedings of the 22nd ACM SIGKDD International. 1135–1144, ACM, 2016. Bahdanau, D., Cho, K., & Bengio, Y.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139