All Episodes
Linear Digressions — 291 episodes · page 3 of 3
Page Rank
Fractional Dimensions
Things You Learn When Building Models for Big Data
How to Find New Things to Learn
Federated Learning
Word2Vec
Feature Processing for Text Analytics
Education Analytics
A Technical Deep Dive on Stanley, the First Self-Driving Car
An Introduction to Stanley, the First Self-Driving Car
Feature Importance
Space Codes!
Finding (and Studying) Wikipedia Trolls
A Sprint Through What's New in Neural Networks
Stein's Paradox
Empirical Bayes
Endogenous Variables and Measuring Protest Effectiveness
Calibrated Models
Rock the ROC Curve
Ensemble Algorithms
How to evaluate a translation: BLEU scores
Zero Shot Translation
Google Neural Machine Translation
Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might
Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil
How to Lose at Kaggle
Attacking Discrimination in Machine Learning
Recurrent Neural Nets
Stealing a PIN with signal processing and machine learning
Neural Net Cryptography
Deep Blue
Organizing Google's Datasets
Fighting Cancer with Data Science: Followup
The 19-year-old determining the US election
How to Steal a Model
Regularization
The Cold Start Problem
Open Source Software for Data Science
Scikit + Optimization = Scikit-Optimize
Two Cultures: Machine Learning and Statistics
Optimization Solutions
Optimization Problems
Multi-level modeling for understanding DEADLY RADIOACTIVE GAS
How Polls Got Brexit "Wrong"
Election Forecasting
Machine Learning for Genomics
Climate Modeling
Reinforcement Learning Gone Wrong
Reinforcement Learning for Artificial Intelligence
Differential Privacy: how to study people without being weird and gross
How the sausage gets made
SMOTE: makin' yourself some fake minority data
Conjoint Analysis: like AB testing, but on steroids
Traffic Metering Algorithms
Um Detector 2: The Dynamic Time Warp
Inside a Data Analysis: Fraud Hunting at Enron
What's the biggest #bigdata?
Data Contamination
Model Interpretation (and Trust Issues)
Updates! Political Science Fraud and AlphaGo
Ecological Inference and Simpson's Paradox
Discriminatory Algorithms
Recommendation Engines and Privacy
Neural nets play cops and robbers (AKA generative adverserial networks)
A Data Scientist's View of the Fight against Cancer
Congress Bots and DeepDrumpf
Multi - Armed Bandits
Experiments and Messy, Tricky Causality
Backpropagation
Text Analysis on the State Of The Union
Paradigms in Artificial Intelligence
Survival Analysis
Gravitational Waves
The Turing Test
Item Response Theory: how smart ARE you?
Go!
Great Social Networks in History
How Much to Pay a Spy (and a lil' more auctions)
Sold! Auctions (Part 2)
Going Once, Going Twice: Auctions (Part 1)
Chernoff Faces and Minard Maps
t-SNE: Reduce Your Dimensions, Keep Your Clusters
The [Expletive Deleted] Problem
Unlabeled Supervised Learning--whaaa?
Hacking Neural Nets
Zipf's Law
Indie Announcement
Portrait Beauty
The Cocktail Party Problem
A Criminally Short Introduction to Semi Supervised Learning
Thresholdout: Down with Overfitting
The State of Data Science
Data Science for Making the World a Better Place
Kalman Runners
Neural Net Inception
Benford's Law
Guinness
PFun with P Values
Watson
Bayesian Psychics