Daniel Golovin and Machine Learning - Free people check

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An upcoming NIPS paper seems to be a followup "Hidden Technical Debt...

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"Hidden Technical Debt in Machine Learning Systems" D Sculley*, Google Research; Gary Holt, ; Daniel Golovin, Google, Inc.; Eugene ...

Daniel Golovin – Google Research

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Google Publications Machine Learning: The High Interest Credit Card of Technical Debt. D. Sculley, Gary Holt, Daniel ...

D. Sculley - Research at Google

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Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young. Proceedings of the 30 International Conference on Machine Learning (ICML) (2013), pp. 10.

Tractability: Practical Approaches to Hard Problems - Google Books

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Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and...

Practical Natural Language Processing: A Comprehensive Guide to ...books.google.com › books

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[35] Sculley, D., Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, and Michael Young. “Machine Learning: The High ...

Daniel Golovin - Home - ACM Digital Librarydl.acm.org › profile

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Machine learning Approximation Design and analysis of algorithms Record storage systems Continuous optimization Control methods Data structures Data ...

Hyperparameter tuning in Cloud Machine Learning Engine using ...cloud.google.com › blog › products › hyperparameter-tuning-cloud-machi...

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Daniel Golovin. Staff Software Engineer, Google Brain. Greg Kochanski. Staff Software Engineer, Google Brain. August 9,

CS 159: Advanced Topics in Machine Learning

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Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization, by Daniel Golovin and Andreas Krause. Journal of Artificial ...

D. Sculley, Publications - Tufts University ECE and CS Departmentswww.eecs.tufts.edu › ~dsculley › papers

www.eecs.tufts.edu

Reliable Machine Learning in the Wild - NIPS Workshop December, D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar ...

Hidden Technical Debt in Machine Learning Systems - NeurIPS ...papers.nips.cc › paper › hidden-technical-debt-in-machine-learning-s...

papers.nips.cc

Authors. D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-François Crespo, ...

Large-Scale Learning with Less RAM via Randomizationproceedings.mlr.press › golovin13

proceedings.mlr.press

Aug 20, · Daniel Golovin, D. Sculley, Brendan McMahan, Michael Young. Proceedings of the 30th International Conference on Machine Learning, ...

Practical advice for building machine learning applicationssvivek.com › teaching › machine-learning › fall2019 › lectures › advice

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Machine Learning: The High Interest Credit Card of Technical Debt D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, ...

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Daniel Golovin and Machine Learning Free People Check

An upcoming NIPS paper seems to be a followup "Hidden Technical Debt...

Daniel Golovin – Google Research

D. Sculley - Research at Google

Tractability: Practical Approaches to Hard Problems - Google Books

Practical Natural Language Processing: A Comprehensive Guide to ...books.google.com › books

Daniel Golovin - Home - ACM Digital Librarydl.acm.org › profile

Hyperparameter tuning in Cloud Machine Learning Engine using ...cloud.google.com › blog › products › hyperparameter-tuning-cloud-machi...

CS 159: Advanced Topics in Machine Learning

D. Sculley, Publications - Tufts University ECE and CS Departmentswww.eecs.tufts.edu › ~dsculley › papers

Hidden Technical Debt in Machine Learning Systems - NeurIPS ...papers.nips.cc › paper › hidden-technical-debt-in-machine-learning-s...

Large-Scale Learning with Less RAM via Randomizationproceedings.mlr.press › golovin13

Practical advice for building machine learning applicationssvivek.com › teaching › machine-learning › fall2019 › lectures › advice

Paper Notes – Hong, LiangJie

Random Hypervolume Scalarizations for Provable Multi-Objective ...proceedings.mlr.press › ...

Machine Learning: The High-Interest Credit Card of ...

Google AI Blog: NIPS and Machine Learning Research at Google

Predictive Thursdays: Is Your Machine Learning Implementation Debt...

submodularity.org: Tutorials, References, Activities and Tools for...

Caltech CS/CNS/EE 253 Advanced Topics in Machine Learning

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