Machine Learning on Images with Noisy Human-centric Labels

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Data Skeptic book giveaway contest winner selection

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OpenHouse - Front end and API overview

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OpenHouse Crawling with AWS Lambda

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[MINI] Logistic Regression on Audio Data

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Data Provenance and Reproducibility with Pachyderm

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[MINI] Primer on Deep Learning

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Big Data Tools and Trends

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[MINI] Automated Feature Engineering

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The Data Refuge Project

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[MINI] The Perceptron

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[MINI] Feed Forward Neural Networks

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Data Science at Patreon

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[MINI] Backpropagation

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[MINI] GPU CPU

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OpenHouse

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[MINI] Generative Adversarial Networks

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[MINI] AdaBoost

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[MINI] The Bootstrap

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[MINI] Dropout

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[MINI] Gini Coefficients

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[MINI] Random Forest

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[MINI] Heteroskedasticity

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[MINI] ANOVA

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Urban Congestion

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[MINI] The CAP Theorem

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Unstructured Data for Finance

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Detecting Terrorists with Facial Recognition?

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Predictive Models on Random Data

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[MINI] Entropy

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[MINI] F1 Score

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Causal Impact

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Machine Learning on Images with Noisy Human-centric Labels

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The Library Problem

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Stealing Models from the Cloud

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Data Science at eHarmony

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Multiple Comparisons and Conversion Optimization

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Election Predictions

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[MINI] Calculating Feature Importance

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39

MS Connect Conference

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40

Music21

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The Police Data and the Data Driven Justice Initiatives

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Studying Competition and Gender Through Chess

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[MINI] Goodhart's Law

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Trusting Machine Learning Models with LIME

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[MINI] Leakage

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Predictive Policing

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Mutli-Agent Diverse Generative Adversarial Networks

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[MINI] Convolutional Neural Networks

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Unsupervised Depth Perception

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[MINI] Max-pooling

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MS Build 2017

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Activation Functions

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Doctor AI

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[MINI] The Vanishing Gradient

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CosmosDB

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Estimating Sheep Pain with Facial Recognition

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[MINI] Conditional Independence

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MINI: Bayesian Belief Networks

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Project Common Voice

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[MINI] Recurrent Neural Networks

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