Tagged | statistics

• Experiment without the wait: Speeding up the iteration cycle with Offline Replay Experimentation

  (medium.com)

  #software-engineering #analytics #AB-Testing #statistics

• Building confidence in a decision

  (netflixtechblog.com)

  #data-science #analytics #AB-Testing #statistics

• An ML-based Framework for COVID-19 Epidemiology

  (ai.googleblog.com)

  #machine-learning #research #statistics

• Interpreting A/B test results: false positives and statistical significance

  (netflixtechblog.com)

  #analytics #math #statistics

• An ML approach to Calculating Expected Value

  (engineering.udacity.com)

  #machine-learning #analytics #statistics

• Gimme a robust estimator - and make it a double!

  (multithreaded.stitchfix.com)

  #analytics #math #statistics

• What time-weighted averages are and why you should care

  (blog.timescale.com)

  #data-science #analytics #statistics

• How Airbnb Measures Future Value to Standardize Tradeoffs

  (medium.com)

  #data-pipeline #analytics #math #statistics

• Analyzing Experiments with Changing Cohort Allocations

  (engineeringblog.yelp.com)

  #software-engineering #analytics #statistics

• Algo Hour - Step sizes for SGD: Adaptivity and Convergence | Xiaoyu Li

  (multithreaded.stitchfix.com)

  #machine-learning #algorithms #math #statistics

• Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei

  (multithreaded.stitchfix.com)

  #data-science #machine-learning #statistics

• The Importance of Covariates in Causal Inference: Shown in a Comparison of Two Methods

  (tech.wayfair.com)

  #data-science #analytics #math #statistics

• There is No Noise — Only Bias

  (blog.insightdatascience.com)

  #AI #machine-learning #statistics

• Predicting the Demand of Products Sold Online

  (www.semantics3.com)

  #data-science #analytics #statistics

• D-Curve: An Improved Method for Defining Non-Contractual Churn with Type I and Type II Errors

  (engineering.indeedblog.com)

  #analytics #statistics

• Beyond L2 Loss — How we experiment with loss functions at Lyft

  (eng.lyft.com)

  #data-science #algorithms #math #statistics

• Want to make good business decisions? Learn causality

  (multithreaded.stitchfix.com)

  #data-science #analytics #statistics

• Bias-Variance Tradeoff Explained

  (blog.insightdatascience.com)

  #data-science #machine-learning #math #statistics

• Newsvendor Problem – The Tale of the First Formula in the Textbook

  (multithreaded.stitchfix.com)

  #algorithms #math #statistics

• Credit Card Fraud Detection using Self Organizing FeatureMaps

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #statistics

• Anomaly Detection With SQL

  (towardsdatascience.com)

  #SQL #analytics #statistics

• The Lucas Critique and the Necessity of Theory

  (tech.wayfair.com)

  #data-science #algorithms #math #statistics

• Normalizing Resume Text in the Age of Ninjas, Rockstars, and Wizards

  (engineering.indeedblog.com)

  #data-science #algorithms #text-analysis #statistics

• Recognize Class Imbalance with Baselines and Better Metrics

  (engineering.indeedblog.com)

  #data-science #data-analytics #statistics

• Understanding Partial Auto-Correlation

  (towardsdatascience.com)

  #data-science #analytics #time-series #math #statistics

• Using Causal Inference to Improve the Uber User Experience

  (eng.uber.com)

  #data-science #analytics #UX #statistics

• Trapped in the Present: How engagement bias in short-run experiments can blind you to long-run…

  (medium.com)

  #mobile #analytics #AB-Testing #statistics

• Detecting Bias with SHAP

  (databricks.com)

  #data-science #data-analytics #visualisation #statistics

• Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing #statistics

• Presentation: Massive Scale Anomaly Detection Framework

  (www.infoq.com)

  #data-science #machine-learning #big-data #statistics

• ROC Curves and the Efficient Frontier

  (towardsdatascience.com)

  #data-analytics #visualisation #fintech #statistics

• Understanding Dynamic Time Warping

  (databricks.com)

  #data-analytics #data-visualisation #math #statistics

• Introducing PySurvival

  (medium.com)

  #data-analytics #opensource #statistics

• An Invitation to Active Learning

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #statistics

• A Visual Exploration of Gaussian Processes

  (distill.pub)

  #data-science #data-analytics #visualisation #math #statistics

• Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language

  (eng.uber.com)

  #data-analytics #Probabilistic-programming #time-series #statistics

• Improving Experimentation Efficiency at Netflix with Meta Analysis and Optimal Stopping

  (medium.com)

  #analytics #math #statistics

• Analyzing Twitch chat during a Pokémon Marathon

  (blog.twitch.tv)

  #data-science #data-analytics #statistics

• Under the Hood of an Analytics Project

  (towardsdatascience.com)

  #data-visualisation #analytics #statistics

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #optimisation #math #statistics

• The Design of Statistical Graphics

  (towardsdatascience.com)

  #data-analytics #data-visualisation #statistics

• How we increased engagement using automatic personalized copy testing

  (medium.com)

  #AB-Testing #personalisation #statistics

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #math #statistics

• Two things about power

  (multithreaded.stitchfix.com)

  #data-analytics #math #statistics