Analyzing Experiment Outcomes: Beyond Average Treatment Effects
Cool piece from Uber's engineering department about why you can't just use the average customer experience to see if product changes are worth it. You have to consider the DISTRIBUTIONAL changes of the customer experience.
Link: https://eng.uber.com/analyzing-experiment-outcomes/
#statistics #uber #abtest
Cool piece from Uber's engineering department about why you can't just use the average customer experience to see if product changes are worth it. You have to consider the DISTRIBUTIONAL changes of the customer experience.
Link: https://eng.uber.com/analyzing-experiment-outcomes/
#statistics #uber #abtest
Really interesting talk at MLconfSF by Franziska Bell on how #Uber uses NLP for customer experience. Most of what was described are recent advances in their COTA platform.
Link: https://eng.uber.com/cota/
Link: https://eng.uber.com/cota/
UberAI introduces a new approach for making Neural Networks process images faster & more accurately with jpeg representations.
Link: https://eng.uber.com/neural-networks-jpeg/
Paper: https://papers.nips.cc/paper/7649-faster-neural-networks-straight-from-jpeg
#nn #CV #Uber
Link: https://eng.uber.com/neural-networks-jpeg/
Paper: https://papers.nips.cc/paper/7649-faster-neural-networks-straight-from-jpeg
#nn #CV #Uber
Building Automated Feature Rollouts on Robust Regression Analysis
Nice article on important thing — statistical analysis of hypothesis testing. Every new feature or change made to existent one is basically an experiment. Article covers how #Uber team handles this in live system.
Link: https://eng.uber.com/autonomous-rollouts-regression-analysis/
#Uber #statistics #production #truestory
Nice article on important thing — statistical analysis of hypothesis testing. Every new feature or change made to existent one is basically an experiment. Article covers how #Uber team handles this in live system.
Link: https://eng.uber.com/autonomous-rollouts-regression-analysis/
#Uber #statistics #production #truestory
POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
POET: it generates its own increasingly complex, diverse training environments & solves them. It automatically creates a learning curricula & training data, & potentially innovates endlessly.
Link: https://eng.uber.com/poet-open-ended-deep-learning/
#RL #Uber
POET: it generates its own increasingly complex, diverse training environments & solves them. It automatically creates a learning curricula & training data, & potentially innovates endlessly.
Link: https://eng.uber.com/poet-open-ended-deep-learning/
#RL #Uber
YouTube
POET: Endlessly Generating Increasingly Complex & Diverse Learning Environments and their Solutions
This video introduces an algorithm called POET (Paired Open-Ended Trailblazer) that is designed to continually invent increasingly complex and diverse problems, along with their corresponding solutions. Here, we demonstrate POET's potential by unleashing…
How Uber predicts prices
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
Link: https://eng.uber.com/neural-networks-uncertainty-estimation/
#RNN #LSTM #Uber
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
Link: https://eng.uber.com/neural-networks-uncertainty-estimation/
#RNN #LSTM #Uber
Mastermind: Using Uber Engineering to Combat Fraud in Real Time
Article on general aspects of how #Uber’s fraud prevention engine works.
Link: https://eng.uber.com/mastermind/
#architecture
Article on general aspects of how #Uber’s fraud prevention engine works.
Link: https://eng.uber.com/mastermind/
#architecture
Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine
Link: https://eng.uber.com/aresdb/
#Uber #analytics #opensource
Link: https://eng.uber.com/aresdb/
#Uber #analytics #opensource
Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber
Seesm like there is no week without any news from #Uber engineering team. This time Uber built Manifold, a model-agnostic visualization tool for #ML performance diagnosis and model debugging, to facilitate a more informed and actionable model iteration process.
Link: https://ubere.ng/2Hac0O8
#Pipeline #administration
Seesm like there is no week without any news from #Uber engineering team. This time Uber built Manifold, a model-agnostic visualization tool for #ML performance diagnosis and model debugging, to facilitate a more informed and actionable model iteration process.
Link: https://ubere.ng/2Hac0O8
#Pipeline #administration