| | Measuring Validity and Reliability of Human Ratings (unofficialgoogledatascience.com) |
| 2 points by Anon84 5 months ago | past |
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| | Why model calibration matters and how to achieve it (unofficialgoogledatascience.com) |
| 2 points by tim_sw on Aug 31, 2021 | past |
|
| | Why model calibration matters and how to achieve it (unofficialgoogledatascience.com) |
| 1 point by sarosh on May 2, 2021 | past |
|
| | Practical advice for analysis of large, complex data sets (2016) (unofficialgoogledatascience.com) |
| 109 points by sillysaurusx on April 30, 2021 | past | 22 comments |
|
| | On procedural and declarative programming in MapReduce (2015) (unofficialgoogledatascience.com) |
| 2 points by astdb on May 14, 2020 | past |
|
| | Replacing Sawzall – a case study in domain-specific language migration (2015) (unofficialgoogledatascience.com) |
| 1 point by astdb on May 13, 2020 | past |
|
| | Humans-in-the-loop forecasting: integrating data science and business planning (unofficialgoogledatascience.com) |
| 62 points by Anon84 on Dec 4, 2019 | past | 6 comments |
|
| | An Introduction to the Poisson Bootstrap (unofficialgoogledatascience.com) |
| 3 points by lawlorino on July 16, 2019 | past |
|
| | Crawling the internet: data science within a large engineering system (unofficialgoogledatascience.com) |
| 2 points by ingve on July 17, 2018 | past |
|
| | Practical advice for analysis of large, complex data sets (unofficialgoogledatascience.com) |
| 2 points by astdb on May 26, 2018 | past |
|
| | Compliance bias in mobile experiments (unofficialgoogledatascience.com) |
| 2 points by onuralp on March 23, 2018 | past |
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| | Our quest for robust time series forecasting at scale (unofficialgoogledatascience.com) |
| 2 points by maverick_iceman on April 18, 2017 | past |
|
| | Attributing a deep network’s prediction to its input features (unofficialgoogledatascience.com) |
| 1 point by dil8 on March 14, 2017 | past |
|
| | Attributing a deep network’s prediction to its input features (unofficialgoogledatascience.com) |
| 1 point by maverick_iceman on March 13, 2017 | past |
|
| | Causality in machine learning (unofficialgoogledatascience.com) |
| 127 points by maverick_iceman on Feb 1, 2017 | past | 65 comments |
|
| | Practical advice for analysis of large, complex data sets (unofficialgoogledatascience.com) |
| 232 points by yarapavan on Nov 9, 2016 | past | 32 comments |
|
| | Practical advice for analysis of large, complex data sets (unofficialgoogledatascience.com) |
| 2 points by dmit on Nov 1, 2016 | past |
|
| | Spark vs DataFlow (unofficialgoogledatascience.com) |
| 4 points by shagunsodhani on Sept 17, 2016 | past |
|
| | Next generation tools for data science (unofficialgoogledatascience.com) |
| 14 points by yarapavan on Sept 12, 2016 | past |
|
| | Comparing Spark and Beam (unofficialgoogledatascience.com) |
| 2 points by dswalter on Sept 9, 2016 | past |
|
| | Unofficial Google Data Science Blog (unofficialgoogledatascience.com) |
| 2 points by tim_sw on March 29, 2016 | past |
|
| | How to get a job at Google as a data scientist (unofficialgoogledatascience.com) |
| 2 points by ingve on Dec 6, 2015 | past |
|
| | Replacing Sawzall – a case study in domain-specific language migration (unofficialgoogledatascience.com) |
| 47 points by cnbuff410 on Dec 5, 2015 | past | 5 comments |
|
| | How to get a job at Google – as a data scientist (unofficialgoogledatascience.com) |
| 1 point by gedrap on Nov 30, 2015 | past |
|
| | Experiment Design and Modeling for Long-term Studies in Ads (unofficialgoogledatascience.com) |
| 9 points by jplevine on Oct 11, 2015 | past |
|
| | Unofficial Google data science blog (unofficialgoogledatascience.com) |
| 2 points by quantisan on Sept 1, 2015 | past |
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