Data Skeptic
By Kyle Polich
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Category: Technology
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Rate for this podcast
Subscribers: 1936
Reviews: 4
Episodes: 500
Feb 22, 2022
brad
Mar 26, 2020
better than bad, as a non-data person, it has wintering insights into how data persons think.
Harald Clark
Jan 26, 2019
Conversational explanations, just not my style, too much topic bloat.
A Podcast Republic user
Jul 27, 2018
Description
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
| Episode | Date |
|---|---|
|
LLMs for Evil
|
Sep 25, 2023 |
|
The Defeat of the Winograd Schema Challenge
|
Sep 11, 2023 |
|
LLMs in Social Science
|
Sep 04, 2023 |
|
LLMs in Music Composition
|
Aug 28, 2023 |
|
Cuttlefish Model Tuning
|
Aug 21, 2023 |
|
Which Professions Are Threatened by LLMs
|
Aug 15, 2023 |
|
Why Prompting is Hard
|
Aug 08, 2023 |
|
Automated Peer Review
|
Jul 31, 2023 |
|
Prompt Refusal
|
Jul 24, 2023 |
|
A Long Way Till AGI
|
Jul 18, 2023 |
|
Brain Inspired AI
|
Jul 11, 2023 |
|
Computable AGI
|
Jul 03, 2023 |
|
AGI Can Be Safe
|
Jun 26, 2023 |
|
AI Fails on Theory of Mind Tasks
|
Jun 19, 2023 |
|
AI for Mathematics Education
|
Jun 12, 2023 |
|
Evaluating Jokes with LLMs
|
Jun 06, 2023 |
|
Why Machines Will Never Rule the World
|
May 29, 2023 |
|
A Psychopathological Approach to Safety in AGI
|
May 23, 2023 |
|
The NLP Community Metasurvey
|
May 15, 2023 |
|
Skeptical Survey Interpretation
|
May 10, 2023 |
|
The Gallup Poll
|
May 01, 2023 |
|
Inclusive Study Group Formation at Scale
|
Apr 25, 2023 |
|
The PhilPapers Survey
|
Apr 21, 2023 |
|
Non-Response Bias
|
Apr 10, 2023 |
|
Measuring Trust in Robots with Likert Scales
|
Apr 03, 2023 |
|
CAREER Prediction
|
Mar 27, 2023 |
|
The Panel Study of Income Dynamics
|
Mar 21, 2023 |
|
Survey Design Working Session
|
Mar 14, 2023 |
|
Bot Detection and Dyadic Surveys
|
Mar 06, 2023 |
|
Reproducible ESP Testing
|
Feb 20, 2023 |
|
A Survey of Data Science Methodologies
|
Feb 13, 2023 |
|
Opinion Dynamics Models
|
Feb 06, 2023 |
|
Casual Affective Triggers
|
Jan 30, 2023 |
|
Conversational Surveys
|
Jan 23, 2023 |
|
Do Results Generalize for Privacy and Security Surveys
|
Jan 17, 2023 |
|
4 out of 5 Data Scientists Agree
|
Jan 10, 2023 |
|
Crowdfunded Board Games
|
Dec 26, 2022 |
|
Russian Election Interference Effectiveness
|
Dec 19, 2022 |
|
Placement Laundering Fraud
|
Dec 15, 2022 |
|
Data Clean Rooms
|
Dec 12, 2022 |
|
Dark Patterns in Site Design
|
Dec 05, 2022 |
|
Internet Advertising Bureau Media Lab
|
Dec 03, 2022 |
|
Your Mouse Reveals Your Gender and Age
|
Nov 28, 2022 |
|
Measuring Web Search Behavior
|
Nov 21, 2022 |
|
StrategyQA and Big Bench
|
Nov 18, 2022 |
|
Ad Blockers Effect on News Consumption
|
Nov 14, 2022 |
|
Your Consent is Worth 75 Euros a Year
|
Nov 07, 2022 |
|
Automated Email Generation for Targeted Attacks
|
Oct 31, 2022 |
|
Tribal Marketing
|
Oct 24, 2022 |
|
Nano-targetted Facebook Ads
|
Oct 17, 2022 |
|
Debiasing GPT-3 Job Ads
|
Oct 10, 2022 |
|
ML Ops in Production
|
Oct 06, 2022 |
|
Ad Network Tomography
|
Oct 03, 2022 |
|
First Party Tracking Cookies
|
Sep 26, 2022 |
|
The Harms of Targeted Weight Loss Ads
|
Sep 19, 2022 |
|
Podcast Advertising
|
Sep 12, 2022 |
|
Fairness in e-Commerce Search
|
Sep 05, 2022 |
|
Fraudulent Amazon Reviewers
|
Aug 29, 2022 |
|
Ad Targeting in Amazon Smart Speakers
|
Aug 22, 2022 |
|
Adwords with Unknown Budgets
|
Aug 15, 2022 |
|
ML Ops Best Practices
|
Aug 12, 2022 |
|
Affiliate Marketing Rabbithole
|
Aug 08, 2022 |
|
Monetization of Youtube Conspiracy Theorists
|
Aug 01, 2022 |
|
User Perceptions of Problematic Ads
|
Jul 25, 2022 |
|
Political Digital Advertising Analysis
|
Jul 21, 2022 |
|
Fraud Detection in Crowdfunding Campaigns
|
Jul 18, 2022 |
|
Artificial Intelligence and Auction Design
|
Jul 11, 2022 |
|
Privacy Preference Signals
|
Jul 04, 2022 |
|
Neural Architecture Search for CTR Prediction
|
Jun 27, 2022 |
|
Algorithmic PPC Management
|
Jun 21, 2022 |
|
Data Skeptic: Ad Tech
|
Jun 18, 2022 |
|
The Reliability of Mobile Phone Data
|
Jun 13, 2022 |
|
Haywire Algorithms
|
Jun 06, 2022 |
|
School Reopening Analysis
|
May 30, 2022 |
|
Modern Data Stacks
|
May 26, 2022 |
|
Emoji as a Predictor
|
May 23, 2022 |
|
Polarizing Trends in the Gig Economy
|
May 16, 2022 |
|
Remote Learning in Applied Engineering
|
May 12, 2022 |
|
Remote Productivity
|
May 09, 2022 |
|
Does Remote Learning Work?
|
May 01, 2022 |
|
Covid-19 Impact on Bicycle Usage
|
Apr 25, 2022 |
|
Learning Digital Fabrication Remotely
|
Apr 22, 2022 |
|
Remote Software Development
|
Apr 18, 2022 |
|
Quantum K-Means
|
Apr 11, 2022 |
|
K-Means in Practice
|
Apr 04, 2022 |
|
Fair Hierarchical Clustering
|
Mar 28, 2022 |
|
Matrix Factorization For k-Means
|
Mar 21, 2022 |
|
Breathing K-Means
|
Mar 14, 2022 |
|
Power K-Means
|
Mar 07, 2022 |
|
Explainable K-Means
|
Mar 03, 2022 |
|
Customer Clustering
|
Feb 28, 2022 |
|
k-means Image Segmentation
|
Feb 22, 2022 |
|
Tracking Elephant Clusters
|
Feb 18, 2022 |
|
k-means clustering
|
Feb 14, 2022 |
|
Snowflake Essentials
|
Feb 07, 2022 |
|
Explainable Climate Science
|
Jan 31, 2022 |
|
Energy Forecasting Pipelines
|
Jan 24, 2022 |
|
Matrix Profiles in Stumpy
|
Jan 17, 2022 |
|
The Great Australian Prediction Project
|
Jan 14, 2022 |
|
Water Demand Forecasting
|
Jan 10, 2022 |
|
Open Telemetry
|
Jan 03, 2022 |
|
Fashion Predictions
|
Dec 27, 2021 |
|
Time Series Mini Episodes
|
Dec 25, 2021 |
|
Forecasting Motor Vehicle Collision
|
Dec 20, 2021 |
|
Deep Learning for Road Traffic Forecasting
|
Dec 13, 2021 |
|
Bike Share Demand Forecasting
|
Dec 06, 2021 |
|
Forecasting in Supply Chain
|
Nov 29, 2021 |
|
Black Friday
|
Nov 26, 2021 |
|
Aligning Time Series on Incomparable Spaces
|
Nov 22, 2021 |
|
Comparing Time Series with HCTSA
|
Nov 15, 2021 |
|
Change Point Detection Algorithms
|
Nov 08, 2021 |
|
Time Series for Good
|
Nov 01, 2021 |
|
Long Term Time Series Forecasting
|
Oct 25, 2021 |
|
Fast and Frugal Time Series Forecasting
|
Oct 17, 2021 |
|
Causal Inference in Educational Systems
|
Oct 11, 2021 |
|
Boosted Embeddings for Time Series
|
Oct 04, 2021 |
|
Change Point Detection in Continuous Integration Systems
|
Sep 27, 2021 |
|
Applying k-Nearest Neighbors to Time Series
|
Sep 20, 2021 |
|
Ultra Long Time Series
|
Sep 13, 2021 |
|
MiniRocket
|
Sep 06, 2021 |
|
ARiMA is not Sufficient
|
Aug 30, 2021 |
|
Comp Engine
|
Aug 23, 2021 |
|
Detecting Ransomware
|
Aug 16, 2021 |
|
GANs in Finance
|
Aug 09, 2021 |
|
Predicting Urban Land Use
|
Aug 02, 2021 |
|
Opportunities for Skillful Weather Prediction
|
Jul 26, 2021 |
|
Predicting Stock Prices
|
Jul 19, 2021 |
|
N-Beats
|
Jul 12, 2021 |
|
Translation Automation
|
Jul 06, 2021 |
|
Time Series at the Beach
|
Jun 28, 2021 |
|
Automatic Identification of Outlier Galaxy Images
|
Jun 21, 2021 |
|
Do We Need Deep Learning in Time Series
|
Jun 16, 2021 |
|
Detecting Drift
|
Jun 11, 2021 |
|
Darts Library for Time Series
|
May 31, 2021 |
|
Forecasting Principles and Practice
|
May 24, 2021 |
|
Prequisites for Time Series
|
May 21, 2021 |
|
Orders of Magnitude
|
May 07, 2021 |
|
They're Coming for Our Jobs
|
May 03, 2021 |
|
Pandemic Machine Learning Pitfalls
|
Apr 26, 2021 |
|
Flesch Kincaid Readability Tests
|
Apr 19, 2021 |
|
Fairness Aware Outlier Detection
|
Apr 09, 2021 |
|
Life May be Rare
|
Apr 05, 2021 |
|
Social Networks
|
Mar 29, 2021 |
|
The QAnon Conspiracy
|
Mar 22, 2021 |
|
Benchmarking Vision on Edge vs Cloud
|
Mar 15, 2021 |
|
Goodhart's Law in Reinforcement Learning
|
Mar 05, 2021 |
|
Video Anomaly Detection
|
Mar 01, 2021 |
|
Fault Tolerant Distributed Gradient Descent
|
Feb 22, 2021 |
|
Decentralized Information Gathering
|
Feb 15, 2021 |
|
Leaderless Consensus
|
Feb 05, 2021 |
|
Automatic Summarization
|
Jan 29, 2021 |
|
Gerrymandering
|
Jan 22, 2021 |
|
Even Cooperative Chess is Hard
|
Jan 15, 2021 |
|
Consecutive Votes in Paxos
|
Jan 11, 2021 |
|
Visual Illusions Deceiving Neural Networks
|
Jan 01, 2021 |
|
Earthquake Detection with Crowd-sourced Data
|
Dec 25, 2020 |
|
Byzantine Fault Tolerant Consensus
|
Dec 22, 2020 |
|
Alpha Fold
|
Dec 11, 2020 |
|
Arrow's Impossibility Theorem
|
Dec 04, 2020 |
|
Face Mask Sentiment Analysis
|
Nov 27, 2020 |
|
Counting Briberies in Elections
|
Nov 20, 2020 |
|
Sybil Attacks on Federated Learning
|
Nov 13, 2020 |
|
Differential Privacy at the US Census
|
Nov 06, 2020 |
|
Distributed Consensus
|
Oct 30, 2020 |
|
ACID Compliance
|
Oct 23, 2020 |
|
National Popular Vote Interstate Compact
|
Oct 16, 2020 |
|
Defending the p-value
|
Oct 12, 2020 |
|
Retraction Watch
|
Oct 05, 2020 |
|
Crowdsourced Expertise
|
Sep 21, 2020 |
|
The Spread of Misinformation Online
|
Sep 14, 2020 |
|
Consensus Voting
|
Sep 07, 2020 |
|
Voting Mechanisms
|
Aug 31, 2020 |
|
False Consensus
|
Aug 24, 2020 |
|
Fraud Detection in Real Time
|
Aug 18, 2020 |
|
Listener Survey Review
|
Aug 11, 2020 |
|
Human Computer Interaction and Online Privacy
|
Jul 27, 2020 |
|
Authorship Attribution of Lennon McCartney Songs
|
Jul 20, 2020 |
|
GANs Can Be Interpretable
|
Jul 11, 2020 |
|
Sentiment Preserving Fake Reviews
|
Jul 06, 2020 |
|
Interpretability Practitioners
|
Jun 26, 2020 |
|
Facial Recognition Auditing
|
Jun 19, 2020 |
|
Robust Fit to Nature
|
Jun 12, 2020 |
|
Black Boxes Are Not Required
|
Jun 05, 2020 |
|
Robustness to Unforeseen Adversarial Attacks
|
May 30, 2020 |
|
Estimating the Size of Language Acquisition
|
May 22, 2020 |
|
Interpretable AI in Healthcare
|
May 15, 2020 |
|
Understanding Neural Networks
|
May 08, 2020 |
|
Self-Explaining AI
|
May 02, 2020 |
|
Plastic Bag Bans
|
Apr 24, 2020 |
|
Self Driving Cars and Pedestrians
|
Apr 18, 2020 |
|
Computer Vision is Not Perfect
|
Apr 10, 2020 |
|
Uncertainty Representations
|
Apr 04, 2020 |
|
AlphaGo, COVID-19 Contact Tracing and New Data Set
|
Mar 28, 2020 |
|
Visualizing Uncertainty
|
Mar 20, 2020 |
|
Interpretability Tooling
|
Mar 13, 2020 |
|
Shapley Values
|
Mar 06, 2020 |
|
Anchors as Explanations
|
Feb 28, 2020 |
|
Mathematical Models of Ecological Systems
|
Feb 22, 2020 |
|
Adversarial Explanations
|
Feb 14, 2020 |
|
ObjectNet
|
Feb 07, 2020 |
|
Visualization and Interpretability
|
Jan 31, 2020 |
|
Interpretable One Shot Learning
|
Jan 26, 2020 |
|
Fooling Computer Vision
|
Jan 22, 2020 |
|
Algorithmic Fairness
|
Jan 14, 2020 |
|
Interpretability
|
Jan 07, 2020 |
|
NLP in 2019
|
Dec 31, 2019 |
|
The Limits of NLP
|
Dec 24, 2019 |
|
Jumpstart Your ML Project
|
Dec 15, 2019 |
|
Serverless NLP Model Training
|
Dec 10, 2019 |
|
Team Data Science Process
|
Dec 03, 2019 |
|
Ancient Text Restoration
|
Dec 01, 2019 |
|
ML Ops
|
Nov 27, 2019 |
|
Annotator Bias
|
Nov 23, 2019 |
|
NLP for Developers
|
Nov 20, 2019 |
|
Indigenous American Language Research
|
Nov 13, 2019 |
|
Talking to GPT-2
|
Oct 31, 2019 |
|
Reproducing Deep Learning Models
|
Oct 23, 2019 |
|
What BERT is Not
|
Oct 14, 2019 |
|
SpanBERT
|
Oct 08, 2019 |
|
BERT is Shallow
|
Sep 23, 2019 |
|
BERT is Magic
|
Sep 16, 2019 |
|
Applied Data Science in Industry
|
Sep 06, 2019 |
|
Building the howto100m Video Corpus
|
Aug 19, 2019 |
|
BERT
|
Jul 29, 2019 |
|
Onnx
|
Jul 22, 2019 |
|
Catastrophic Forgetting
|
Jul 15, 2019 |
|
Transfer Learning
|
Jul 08, 2019 |
|
Facebook Bargaining Bots Invented a Language
|
Jun 21, 2019 |
|
Under Resourced Languages
|
Jun 15, 2019 |
|
Named Entity Recognition
|
Jun 08, 2019 |
|
The Death of a Language
|
Jun 01, 2019 |
|
Neural Turing Machines
|
May 25, 2019 |
|
Data Infrastructure in the Cloud
|
May 18, 2019 |
|
NCAA Predictions on Spark
|
May 11, 2019 |
|
The Transformer
|
May 03, 2019 |
|
Mapping Dialects with Twitter Data
|
Apr 26, 2019 |
|
Sentiment Analysis
|
Apr 20, 2019 |
|
Attention Primer
|
Apr 13, 2019 |
|
Cross-lingual Short-text Matching
|
Apr 05, 2019 |
|
ELMo
|
Mar 29, 2019 |
|
BLEU
|
Mar 23, 2019 |
|
Simultaneous Translation at Baidu
|
Mar 15, 2019 |
|
Human vs Machine Transcription
|
Mar 08, 2019 |
|
seq2seq
|
Mar 01, 2019 |
|
Text Mining in R
|
Feb 22, 2019 |
|
Recurrent Relational Networks
|
Feb 15, 2019 |
|
Text World and Word Embedding Lower Bounds
|
Feb 08, 2019 |
|
word2vec
|
Feb 01, 2019 |
|
Authorship Attribution
|
Jan 25, 2019 |
|
Very Large Corpora and Zipf's Law
|
Jan 18, 2019 |
|
Semantic search at Github
|
Jan 11, 2019 |
|
Let's Talk About Natural Language Processing
|
Jan 04, 2019 |
|
Data Science Hiring Processes
|
Dec 28, 2018 |
|
Holiday Reading - Epicac
|
Dec 25, 2018 |
|
Drug Discovery with Machine Learning
|
Dec 21, 2018 |
|
Sign Language Recognition
|
Dec 14, 2018 |
|
Data Ethics
|
Dec 07, 2018 |
|
Escaping the Rabbit Hole
|
Nov 30, 2018 |
|
[MINI] Theorem Provers
|
Nov 23, 2018 |
|
Automated Fact Checking
|
Nov 16, 2018 |
|
[MINI] Single Source of Truth
|
Nov 09, 2018 |
|
Detecting Fast Radio Bursts with Deep Learning
|
Nov 02, 2018 |
|
Being Bayesian
|
Oct 26, 2018 |
|
Modeling Fake News
|
Oct 19, 2018 |
|
The Louvain Method for Community Detection
|
Oct 12, 2018 |
|
Cultural Cognition of Scientific Consensus
|
Oct 05, 2018 |
|
False Discovery Rates
|
Sep 28, 2018 |
|
Deep Fakes
|
Sep 21, 2018 |
|
Fake News Midterm
|
Sep 14, 2018 |
|
Quality Score
|
Sep 07, 2018 |
|
The Knowledge Illusion
|
Aug 31, 2018 |
|
Click Through Rates
|
Aug 24, 2018 |
|
Algorithmic Detection of Fake News
|
Aug 17, 2018 |
|
Ant Intelligence
|
Aug 10, 2018 |
|
Human Detection of Fake News
|
Aug 03, 2018 |
|
Spam Filtering with Naive Bayes
|
Jul 27, 2018 |
|
The Spread of Fake News
|
Jul 20, 2018 |
|
Fake News
|
Jul 13, 2018 |
|
Dev Ops for Data Science
|
Jul 11, 2018 |
|
First Order Logic
|
Jul 06, 2018 |
|
Blind Spots in Reinforcement Learning
|
Jun 29, 2018 |
|
Defending Against Adversarial Attacks
|
Jun 22, 2018 |
|
Transfer Learning
|
Jun 15, 2018 |
|
Medical Imaging Training Techniques
|
Jun 08, 2018 |
|
Kalman Filters
|
Jun 01, 2018 |
|
AI in Industry
|
May 25, 2018 |
|
AI in Games
|
May 18, 2018 |
|
Game Theory
|
May 11, 2018 |
|
The Experimental Design of Paranormal Claims
|
May 04, 2018 |
|
Winograd Schema Challenge
|
Apr 27, 2018 |
|
The Imitation Game
|
Apr 20, 2018 |
|
Eugene Goostman
|
Apr 13, 2018 |
|
The Theory of Formal Languages
|
Apr 06, 2018 |
|
The Loebner Prize
|
Mar 30, 2018 |
|
Chatbots
|
Mar 23, 2018 |
|
The Master Algorithm
|
Mar 16, 2018 |
|
The No Free Lunch Theorems
|
Mar 09, 2018 |
|
ML at Sloan Kettering Cancer Center
|
Mar 02, 2018 |
|
Optimal Decision Making with POMDPs
|
Feb 23, 2018 |
|
AI Decision-Making
|
Feb 16, 2018 |
|
[MINI] Reinforcement Learning
|
Feb 09, 2018 |
|
Evolutionary Computation
|
Feb 02, 2018 |
|
[MINI] Markov Decision Processes
|
Jan 26, 2018 |
|
Neuroscience Frontiers
|
Jan 19, 2018 |
|
Neuroimaging and Big Data
|
Jan 12, 2018 |
|
The Agent Model of Artificial Intelligence
|
Jan 05, 2018 |
|
Artificial Intelligence, a Podcast Approach
|
Dec 29, 2017 |
|
Holiday reading 2017
|
Dec 22, 2017 |
|
Complexity and Cryptography
|
Dec 15, 2017 |
|
Mercedes Benz Machine Learning Research
|
Dec 14, 2017 |
|
[MINI] Parallel Algorithms
|
Dec 08, 2017 |
|
Quantum Computing
|
Dec 01, 2017 |
|
Azure Databricks
|
Nov 28, 2017 |
|
[MINI] Exponential Time Algorithms
|
Nov 24, 2017 |
|
P vs NP
|
Nov 17, 2017 |
|
[MINI] Sudoku \in NP
|
Nov 10, 2017 |
|
The Computational Complexity of Machine Learning
|
Nov 03, 2017 |
|
[MINI] Turing Machines
|
Oct 27, 2017 |
|
The Complexity of Learning Neural Networks
|
Oct 20, 2017 |
|
[MINI] Big Oh Analysis
|
Oct 13, 2017 |
|
Data science tools and other announcements from Ignite
|
Oct 06, 2017 |
|
Generative AI for Content Creation
|
Sep 29, 2017 |
|
[MINI] One Shot Learning
|
Sep 22, 2017 |
|
Recommender Systems Live from FARCON 2017
|
Sep 15, 2017 |
|
[MINI] Long Short Term Memory
|
Sep 08, 2017 |
|
Zillow Zestimate
|
Sep 01, 2017 |
|
Cardiologist Level Arrhythmia Detection with CNNs
|
Aug 25, 2017 |
|
[MINI] Recurrent Neural Networks
|
Aug 18, 2017 |
|
Project Common Voice
|
Aug 11, 2017 |
|
[MINI] Bayesian Belief Networks
|
Aug 04, 2017 |
|
pix2code
|
Jul 28, 2017 |
|
[MINI] Conditional Independence
|
Jul 21, 2017 |
|
Estimating Sheep Pain with Facial Recognition
|
Jul 14, 2017 |
|
CosmosDB
|
Jul 07, 2017 |
|
[MINI] The Vanishing Gradient
|
Jun 30, 2017 |
|
Doctor AI
|
Jun 23, 2017 |
|
[MINI] Activation Functions
|
Jun 16, 2017 |
|
MS Build 2017
|
Jun 09, 2017 |
|
[MINI] Max-pooling
|
Jun 02, 2017 |
|
Unsupervised Depth Perception
|
May 26, 2017 |
|
[MINI] Convolutional Neural Networks
|
May 19, 2017 |
|
Multi-Agent Diverse Generative Adversarial Networks
|
May 12, 2017 |
|
[MINI] Generative Adversarial Networks
|
May 05, 2017 |
|
Opinion Polls for Presidential Elections
|
Apr 28, 2017 |
|
OpenHouse
|
Apr 21, 2017 |
|
[MINI] GPU CPU
|
Apr 14, 2017 |
|
[MINI] Backpropagation
|
Apr 07, 2017 |
|
Data Science at Patreon
|
Mar 31, 2017 |
|
[MINI] Feed Forward Neural Networks
|
Mar 24, 2017 |
|
Reinventing Sponsored Search Auctions
|
Mar 17, 2017 |
|
[MINI] The Perceptron
|
Mar 10, 2017 |
|
The Data Refuge Project
|
Mar 03, 2017 |
|
[MINI] Automated Feature Engineering
|
Feb 24, 2017 |
|
Big Data Tools and Trends
|
Feb 17, 2017 |
|
[MINI] Primer on Deep Learning
|
Feb 10, 2017 |
|
Data Provenance and Reproducibility with Pachyderm
|
Feb 03, 2017 |
|
[MINI] Logistic Regression on Audio Data
|
Jan 27, 2017 |
|
Studying Competition and Gender Through Chess
|
Jan 20, 2017 |
|
[MINI] Dropout
|
Jan 13, 2017 |
|
The Police Data and the Data Driven Justice Initiatives
|
Jan 06, 2017 |
|
The Library Problem
|
Dec 30, 2016 |
|
2016 Holiday Special
|
Dec 23, 2016 |
|
[MINI] Entropy
|
Dec 16, 2016 |
|
MS Connect Conference
|
Dec 09, 2016 |
|
Causal Impact
|
Dec 02, 2016 |
|
[MINI] The Bootstrap
|
Nov 25, 2016 |
|
[MINI] Gini Coefficients
|
Nov 18, 2016 |
|
Unstructured Data for Finance
|
Nov 11, 2016 |
|
[MINI] AdaBoost
|
Nov 04, 2016 |
|
Stealing Models from the Cloud
|
Oct 28, 2016 |
|
[MINI] Calculating Feature Importance
|
Oct 21, 2016 |
|
NYC Bike Share Rebalancing
|
Oct 14, 2016 |
|
[MINI] Random Forest
|
Oct 07, 2016 |
|
Election Predictions
|
Sep 30, 2016 |
|
[MINI] F1 Score
|
Sep 23, 2016 |
|
Urban Congestion
|
Sep 16, 2016 |
|
[MINI] Heteroskedasticity
|
Sep 09, 2016 |
|
Music21
|
Sep 02, 2016 |
|
[MINI] Paxos
|
Aug 26, 2016 |
|
Trusting Machine Learning Models with LIME
|
Aug 19, 2016 |
|
[MINI] ANOVA
|
Aug 12, 2016 |
|
Machine Learning on Images with Noisy Human-centric Labels
|
Aug 05, 2016 |
|
[MINI] Survival Analysis
|
Jul 29, 2016 |
|
Predictive Models on Random Data
|
Jul 22, 2016 |
|
[MINI] Receiver Operating Characteristic (ROC) Curve
|
Jul 15, 2016 |
|
Multiple Comparisons and Conversion Optimization
|
Jul 08, 2016 |
|
[MINI] Leakage
|
Jul 01, 2016 |
|
Predictive Policing
|
Jun 24, 2016 |
|
[MINI] The CAP Theorem
|
Jun 17, 2016 |
|
Detecting Terrorists with Facial Recognition?
|
Jun 10, 2016 |
|
[MINI] Goodhart's Law
|
Jun 03, 2016 |
|
Data Science at eHarmony
|
May 27, 2016 |
|
[MINI] Stationarity and Differencing
|
May 20, 2016 |
|
Feather
|
May 13, 2016 |
|
[MINI] Bargaining
|
May 06, 2016 |
|
deepjazz
|
Apr 29, 2016 |
|
[MINI] Auto-correlative functions and correlograms
|
Apr 22, 2016 |
|
Early Identification of Violent Criminal Gang Members
|
Apr 15, 2016 |
|
[MINI] Fractional Factorial Design
|
Apr 08, 2016 |
|
Machine Learning Done Wrong
|
Apr 01, 2016 |
|
Potholes
|
Mar 25, 2016 |
|
[MINI] The Elbow Method
|
Mar 18, 2016 |
|
Too Good to be True
|
Mar 11, 2016 |
|
[MINI] R-squared
|
Mar 04, 2016 |
|
Models of Mental Simulation
|
Feb 26, 2016 |
|
[MINI] Multiple Regression
|
Feb 19, 2016 |
|
Scientific Studies of People's Relationship to Music
|
Feb 12, 2016 |
|
[MINI] k-d trees
|
Feb 05, 2016 |
|
Auditing Algorithms
|
Jan 29, 2016 |
|
[MINI] The Bonferroni Correction
|
Jan 22, 2016 |
|
Detecting Pseudo-profound BS
|
Jan 15, 2016 |
|
[MINI] Gradient Descent
|
Jan 08, 2016 |
|
Let's Kill the Word Cloud
|
Jan 01, 2016 |
|
2015 Holiday Special
|
Dec 25, 2015 |
|
Wikipedia Revision Scoring as a Service
|
Dec 18, 2015 |
|
[MINI] Term Frequency - Inverse Document Frequency
|
Dec 11, 2015 |
|
The Hunt for Vulcan
|
Dec 04, 2015 |
|
[MINI] The Accuracy Paradox
|
Nov 27, 2015 |
|
Neuroscience from a Data Scientist's Perspective
|
Nov 20, 2015 |
|
[MINI] Bias Variance Tradeoff
|
Nov 13, 2015 |
|
Big Data Doesn't Exist
|
Nov 06, 2015 |
|
[MINI] Covariance and Correlation
|
Oct 30, 2015 |
|
Bayesian A/B Testing
|
Oct 23, 2015 |
|
[MINI] The Central Limit Theorem
|
Oct 16, 2015 |
|
Accessible Technology
|
Oct 09, 2015 |
|
[MINI] Multi-armed Bandit Problems
|
Oct 02, 2015 |
|
Shakespeare, Abiogenesis, and Exoplanets
|
Sep 25, 2015 |
|
[MINI] Sample Sizes
|
Sep 18, 2015 |
|
The Model Complexity Myth
|
Sep 11, 2015 |
|
[MINI] Distance Measures
|
Sep 04, 2015 |
|
ContentMine
|
Aug 28, 2015 |
|
[MINI] Structured and Unstructured Data
|
Aug 21, 2015 |
|
Measuring the Influence of Fashion Designers
|
Aug 14, 2015 |
|
[MINI] PageRank
|
Aug 07, 2015 |
|
Data Science at Work in LA County
|
Jul 29, 2015 |
|
[MINI] k-Nearest Neighbors
|
Jul 24, 2015 |
|
Crypto
|
Jul 17, 2015 |
|
[MINI] MapReduce
|
Jul 10, 2015 |
|
Genetically Engineered Food and Trends in Herbicide Usage
|
Jul 03, 2015 |
|
[MINI] The Curse of Dimensionality
|
Jun 26, 2015 |
|
Video Game Analytics
|
Jun 19, 2015 |
|
[MINI] Anscombe's Quartet
|
Jun 12, 2015 |
|
Proposing Annoyance Mining
|
Jun 09, 2015 |
|
Preserving History at Cyark
|
Jun 05, 2015 |
|
[MINI] A Critical Examination of a Study of Marriage by Political Affiliation
|
May 29, 2015 |
|
Detecting Cheating in Chess
|
May 22, 2015 |
|
[MINI] z-scores
|
May 15, 2015 |
|
Using Data to Help Those in Crisis
|
May 08, 2015 |
|
The Ghost in the MP3
|
May 01, 2015 |
|
Data Fest 2015
|
Apr 28, 2015 |
|
[MINI] Cornbread and Overdispersion
|
Apr 24, 2015 |
|
[MINI] Natural Language Processing
|
Apr 17, 2015 |
|
Computer-based Personality Judgments
|
Apr 10, 2015 |
|
[MINI] Markov Chain Monte Carlo
|
Apr 03, 2015 |
|
[MINI] Markov Chains
|
Mar 20, 2015 |
|
Oceanography and Data Science
|
Mar 13, 2015 |
|
[MINI] Ordinary Least Squares Regression
|
Mar 06, 2015 |
|
NYC Speed Camera Analysis with Tim Schmeier
|
Feb 27, 2015 |
|
[MINI] k-means clustering
|
Feb 20, 2015 |
|
Shadow Profiles on Social Networks
|
Feb 13, 2015 |
|
[MINI] The Chi-Squared Test
|
Feb 06, 2015 |
|
Mapping Reddit Topics with Randy Olson
|
Jan 30, 2015 |
|
[MINI] Partially Observable State Spaces
|
Jan 23, 2015 |
|
Easily Fooling Deep Neural Networks
|
Jan 16, 2015 |
|
[MINI] Data Provenance
|
Jan 09, 2015 |
|
Doubtful News, Geology, Investigating Paranormal Groups, and Thinking Scientifically with Sharon Hill
|
Jan 03, 2015 |
|
[MINI] Belief in Santa
|
Dec 26, 2014 |
|
Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus
|
Dec 19, 2014 |
|
[MINI] The Battle of the Sexes
|
Dec 12, 2014 |
|
The Science of Online Data at Plenty of Fish with Thomas Levi
|
Dec 05, 2014 |
|
[MINI] The Girlfriend Equation
|
Nov 28, 2014 |
|
The Secret and the Global Consciousness Project with Alex Boklin
|
Nov 21, 2014 |
|
[MINI] Monkeys on Typewriters
|
Nov 14, 2014 |
|
Mining the Social Web with Matthew Russell
|
Nov 07, 2014 |
|
[MINI] Is the Internet Secure?
|
Oct 31, 2014 |
|
Practicing and Communicating Data Science with Jeff Stanton
|
Oct 24, 2014 |
|
[MINI] The T-Test
|
Oct 17, 2014 |
|
Data Myths with Karl Mamer
|
Oct 10, 2014 |
|
Contest Announcement
|
Oct 08, 2014 |
|
[MINI] Selection Bias
|
Oct 03, 2014 |
|
[MINI] Confidence Intervals
|
Sep 26, 2014 |
|
[MINI] Value of Information
|
Sep 19, 2014 |
|
Game Science Dice with Louis Zocchi
|
Sep 17, 2014 |
|
Data Science at ZestFinance with Marick Sinay
|
Sep 12, 2014 |
|
[MINI] Decision Tree Learning
|
Sep 05, 2014 |
|
Jackson Pollock Authentication Analysis with Kate Jones-Smith
|
Aug 29, 2014 |
|
[MINI] Noise!!
|
Aug 22, 2014 |
|
Guerilla Skepticism on Wikipedia with Susan Gerbic
|
Aug 15, 2014 |
|
[MINI] Ant Colony Optimization
|
Aug 08, 2014 |
|
Data in Healthcare IT with Shahid Shah
|
Aug 01, 2014 |
|
[MINI] Cross Validation
|
Jul 25, 2014 |
|
Streetlight Outage and Crime Rate Analysis with Zach Seeskin
|
Jul 18, 2014 |
|
[MINI] Experimental Design
|
Jul 11, 2014 |
|
The Right (big data) Tool for the Job with Jay Shankar
|
Jul 07, 2014 |
|
[MINI] Bayesian Updating
|
Jun 27, 2014 |
|
Personalized Medicine with Niki Athanasiadou
|
Jun 20, 2014 |
|
[MINI] p-values
|
Jun 13, 2014 |
|
Advertising Attribution with Nathan Janos
|
Jun 06, 2014 |
|
[MINI] type i / type ii errors
|
May 30, 2014 |
|
Introduction
|
May 23, 2014 |