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All Episodes

Data Skeptic — 598 episodes

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Title
1

News Recommendations

2

Give Users the Wheel

3

AutoLike

4

Student Spotlight: Aaron Payne, Data Analyst

5

The Future is Agentic in Recommender Systems

6

Book Ratings and Recommendations

7

Disentanglement and Interpretability in Recommender Systems

8

Collective Altruism in Recommender Systems

9

Niche vs Mainstream

10

Healthy Friction in Job Recommender Systems

11

Fairness in PCA-Based Recommenders

12

Video Recommendations in Industry

13

Eye Tracking in Recommender Systems

14

Cracking the Cold Start Problem

15

Designing Recommender Systems for Digital Humanities

16

DataRec Library for Reproducible in Recommend Systems

17

Shilling Attacks on Recommender Systems

18

Music Playlist Recommendations

19

Bypassing the Popularity Bias

20

Sustainable Recommender Systems for Tourism

21

Interpretable Real Estate Recommendations

22

Why Am I Seeing This?

23

Eco-aware GNN Recommenders

24

Networks and Recommender Systems

25

Network of Past Guests Collaborations

26

The Network Diversion Problem

27

Complex Dynamic in Networks

28

Github Network Analysis

29

Networks and Complexity

30

Graphs for Causal AI

31

Power Networks

32

Unveiling Graph Datasets

33

Network Manipulation

34

The Small World Hypothesis

35

Thinking in Networks

36

Fraud Networks

37

Criminal Networks

38

Graph Bugs

39

Organizational Network Analysis

40

Organizational Networks

41

Networks of the Mind

42

LLMs and Graphs Synergy

43

A Network of Networks

44

Auditing LLMs and Twitter

45

Fraud Detection with Graphs

46

Optimizing Supply Chains with GNN

47

The Mystery Behind Large Graphs

48

Customizing a Graph Solution

49

Graph Transformations

50

Networks for AB Testing

51

Lessons from eGamer Networks

52

Github Collaboration Network

53

Graphs and ML for Robotics

54

Graphs for HPC and LLMs

55

Graph Databases and AI

56

Network Analysis in Practice

57

Animal Intelligence Final Exam

58

Process Mining with LLMs

59

Open Animal Tracks

60

Bird Distribution Modeling with Satbird

61

Ant Encounters

62

Computing Toolbox

63

Biodiversity Monitoring

64

Hacking the Colony

65

Primate Poses

66

Generating 3D Animals with YouDream

67

Weird Communication

68

Reducing the Impact of Ship Noise on Marine Mammals

69

Analysis of Unstructured Data

70

iNaturalist

71

Learn to Code

72

Animal Computer Interaction

73

Ape Gestures

74

Evaluating AI Abilities

75

HMMs for Behavior

76

Bioinspired Engineering

77

Modelling Evolution

78

Behavioral Genetics

79

Signal in the Noise

80

Pose Tracking

81

Modeling Group Behavior

82

Advances in Data Loggers

83

What You Know About Intelligence is Wrong (fixed)

84

Animal Decision Making

85

Octopus Cognition

86

Optimal Foraging

87

Memory in Chess

88

OpenWorm

89

What the Antlion Knows

90

AI Roundtable

91

Uncontrollable AI Risks

92

I LLM and You Can Too

93

Q&A with Kyle

94

LLMs for Data Analysis

95

AI Platforms

96

Deploying LLMs

97

A Survey Assessing Github Copilot

98

Program Aided Language Models

99

Which Programming Language is ChatGPT Best At

100

GraphText

101

arXiv Publication Patterns

102

Do LLMs Make Ethical Choices

103

Emergent Deception in LLMs

104

Agents with Theory of Mind Play Hanabi

105

LLMs for Evil

106

The Defeat of the Winograd Schema Challenge

107

LLMs in Social Science

108

LLMs in Music Composition

109

Cuttlefish Model Tuning

110

Which Professions Are Threatened by LLMs

111

Why Prompting is Hard

112

Automated Peer Review

113

Prompt Refusal

114

A Long Way Till AGI

115

Brain Inspired AI

116

Computable AGI

117

AGI Can Be Safe

118

AI Fails on Theory of Mind Tasks

119

AI for Mathematics Education

120

Evaluating Jokes with LLMs

121

Why Machines Will Never Rule the World

122

A Psychopathological Approach to Safety in AGI

123

The NLP Community Metasurvey

124

Skeptical Survey Interpretation

125

The Gallup Poll

126

Inclusive Study Group Formation at Scale

127

The PhilPapers Survey

128

Non-Response Bias

129

Measuring Trust in Robots with Likert Scales

130

CAREER Prediction

131

The Panel Study of Income Dynamics

132

Survey Design Working Session

133

Bot Detection and Dyadic Surveys

134

Reproducible ESP Testing

135

A Survey of Data Science Methodologies

136

Opinion Dynamics Models

137

Casual Affective Triggers

138

Conversational Surveys

139

Do Results Generalize for Privacy and Security Surveys

140

4 out of 5 Data Scientists Agree

141

Crowdfunded Board Games

142

Russian Election Interference Effectiveness

143

Placement Laundering Fraud

144

Data Clean Rooms

145

Dark Patterns in Site Design

146

Internet Advertising Bureau Media Lab

147

Your Mouse Reveals Your Gender and Age

148

Measuring Web Search Behavior

149

StrategyQA and Big Bench

150

Ad Blockers Effect on News Consumption

151

Your Consent is Worth 75 Euros a Year

152

Automated Email Generation for Targeted Attacks

153

Tribal Marketing

154

Nano-targetted Facebook Ads

155

Debiasing GPT-3 Job Ads

156

ML Ops in Production

157

Ad Network Tomography

158

First Party Tracking Cookies

159

The Harms of Targeted Weight Loss Ads

160

Podcast Advertising

161

Fairness in e-Commerce Search

162

Fraudulent Amazon Reviewers

163

Ad Targeting in Amazon Smart Speakers

164

Adwords with Unknown Budgets

165

ML Ops Best Practices

166

Affiliate Marketing Rabbithole

167

Monetization of Youtube Conspiracy Theorists

168

User Perceptions of Problematic Ads

169

Political Digital Advertising Analysis

170

Fraud Detection in Crowdfunding Campaigns

171

Artificial Intelligence and Auction Design

172

Privacy Preference Signals

173

Neural Architecture Search for CTR Prediction

174

Algorithmic PPC Management

175

Data Skeptic: Ad Tech

176

The Reliability of Mobile Phone Data

177

Haywire Algorithms

178

School Reopening Analysis

179

Modern Data Stacks

180

Emoji as a Predictor

181

Polarizing Trends in the Gig Economy

182

Remote Learning in Applied Engineering

183

Remote Productivity

184

Does Remote Learning Work?

185

Covid-19 Impact on Bicycle Usage

186

Learning Digital Fabrication Remotely

187

Remote Software Development

188

Quantum K-Means

189

K-Means in Practice

190

Fair Hierarchical Clustering

191

Matrix Factorization For k-Means

192

Breathing K-Means

193

Power K-Means

194

Explainable K-Means

195

Customer Clustering

196

k-means Image Segmentation

197

Tracking Elephant Clusters

198

k-means clustering

199

Snowflake Essentials

200

Explainable Climate Science

201

Energy Forecasting Pipelines

202

Matrix Profiles in Stumpy

203

The Great Australian Prediction Project

204

Water Demand Forecasting

205

Open Telemetry

206

Fashion Predictions

207

Time Series Mini Episodes

208

Forecasting Motor Vehicle Collision

209

Deep Learning for Road Traffic Forecasting

210

Bike Share Demand Forecasting

211

Forecasting in Supply Chain

212

Black Friday

213

Aligning Time Series on Incomparable Spaces

214

Comparing Time Series with HCTSA

215

Change Point Detection Algorithms

216

Time Series for Good

217

Long Term Time Series Forecasting

218

Fast and Frugal Time Series Forecasting

219

Causal Inference in Educational Systems

220

Boosted Embeddings for Time Series

221

Change Point Detection in Continuous Integration Systems

222

Applying k-Nearest Neighbors to Time Series

223

Ultra Long Time Series

224

MiniRocket

225

ARiMA is not Sufficient

226

Comp Engine

227

Detecting Ransomware

228

GANs in Finance

229

Predicting Urban Land Use

230

Opportunities for Skillful Weather Prediction

231

Predicting Stock Prices

232

N-Beats

233

Translation Automation

234

Time Series at the Beach

235

Automatic Identification of Outlier Galaxy Images

236

Do We Need Deep Learning in Time Series

237

Detecting Drift

238

Darts Library for Time Series

239

Forecasting Principles and Practice

240

Prequisites for Time Series

241

Orders of Magnitude

242

They're Coming for Our Jobs

243

Pandemic Machine Learning Pitfalls

244

Flesch Kincaid Readability Tests

245

Fairness Aware Outlier Detection

246

Life May be Rare

247

Social Networks

248

The QAnon Conspiracy

249

Benchmarking Vision on Edge vs Cloud

250

Goodhart's Law in Reinforcement Learning

251

Video Anomaly Detection

252

Fault Tolerant Distributed Gradient Descent

253

Decentralized Information Gathering

254

Leaderless Consensus

255

Automatic Summarization

256

Gerrymandering

257

Even Cooperative Chess is Hard

258

Consecutive Votes in Paxos

259

Visual Illusions Deceiving Neural Networks

260

Earthquake Detection with Crowd-sourced Data

261

Byzantine Fault Tolerant Consensus

262

Alpha Fold

263

Arrow's Impossibility Theorem

264

Face Mask Sentiment Analysis

265

Counting Briberies in Elections

266

Sybil Attacks on Federated Learning

267

Differential Privacy at the US Census

268

Distributed Consensus

269

ACID Compliance

270

National Popular Vote Interstate Compact

271

Defending the p-value

272

Retraction Watch

273

Crowdsourced Expertise

274

The Spread of Misinformation Online

275

Consensus Voting

276

Voting Mechanisms

277

False Consensus

278

Fraud Detection in Real Time

279

Listener Survey Review

280

Human Computer Interaction and Online Privacy

281

Authorship Attribution of Lennon McCartney Songs

282

GANs Can Be Interpretable

283

Sentiment Preserving Fake Reviews

284

Interpretability Practitioners

285

Facial Recognition Auditing

286

Robust Fit to Nature

287

Black Boxes Are Not Required

288

Robustness to Unforeseen Adversarial Attacks

289

Estimating the Size of Language Acquisition

290

Interpretable AI in Healthcare

291

Understanding Neural Networks

292

Self-Explaining AI

293

Plastic Bag Bans

294

Self Driving Cars and Pedestrians

295

Computer Vision is Not Perfect

296

Uncertainty Representations

297

AlphaGo, COVID-19 Contact Tracing and New Data Set

298

Visualizing Uncertainty

299

Interpretability Tooling

300

Shapley Values

301

Anchors as Explanations

302

Mathematical Models of Ecological Systems

303

Adversarial Explanations

304

ObjectNet

305

Visualization and Interpretability

306

Interpretable One Shot Learning

307

Fooling Computer Vision

308

Algorithmic Fairness

309

Interpretability

310

NLP in 2019

311

The Limits of NLP

312

Jumpstart Your ML Project

313

Serverless NLP Model Training

314

Team Data Science Process

315

Ancient Text Restoration

316

ML Ops

317

Annotator Bias

318

NLP for Developers

319

Indigenous American Language Research

320

Talking to GPT-2

321

Reproducing Deep Learning Models

322

What BERT is Not

323

SpanBERT

324

BERT is Shallow

325

BERT is Magic

326

Applied Data Science in Industry

327

Building the howto100m Video Corpus

328

BERT

329

Onnx

330

Catastrophic Forgetting

331

Transfer Learning

332

Facebook Bargaining Bots Invented a Language

333

Under Resourced Languages

334

Named Entity Recognition

335

The Death of a Language

336

Neural Turing Machines

337

Data Infrastructure in the Cloud

338

NCAA Predictions on Spark

339

The Transformer

340

Mapping Dialects with Twitter Data

341

Sentiment Analysis

342

Attention Primer

343

Cross-lingual Short-text Matching

344

ELMo

345

BLEU

346

Simultaneous Translation at Baidu

347

Human vs Machine Transcription

348

seq2seq

349

Text Mining in R

350

Recurrent Relational Networks

351

Text World and Word Embedding Lower Bounds

352

word2vec

353

Authorship Attribution

354

Very Large Corpora and Zipf's Law

355

Semantic search at Github

356

Let's Talk About Natural Language Processing

357

Data Science Hiring Processes

358

Holiday Reading - Epicac

359

Drug Discovery with Machine Learning

360

Sign Language Recognition

361

Data Ethics

362

Escaping the Rabbit Hole

363

[MINI] Theorem Provers

364

Automated Fact Checking

365

[MINI] Single Source of Truth

366

Detecting Fast Radio Bursts with Deep Learning

367

Being Bayesian

368

Modeling Fake News

369

The Louvain Method for Community Detection

370

Cultural Cognition of Scientific Consensus

371

False Discovery Rates

372

Deep Fakes

373

Fake News Midterm

374

Quality Score

375

The Knowledge Illusion

376

Click Through Rates

377

Algorithmic Detection of Fake News

378

Ant Intelligence

379

Human Detection of Fake News

380

Spam Filtering with Naive Bayes

381

The Spread of Fake News

382

Fake News

383

Dev Ops for Data Science

384

First Order Logic

385

Blind Spots in Reinforcement Learning

386

Defending Against Adversarial Attacks

387

Transfer Learning

388

Medical Imaging Training Techniques

389

Kalman Filters

390

AI in Industry

391

AI in Games

392

Game Theory

393

The Experimental Design of Paranormal Claims

394

Winograd Schema Challenge

395

The Imitation Game

396

Eugene Goostman

397

The Theory of Formal Languages

398

The Loebner Prize

399

Chatbots

400

The Master Algorithm

401

The No Free Lunch Theorems

402

ML at Sloan Kettering Cancer Center

403

Optimal Decision Making with POMDPs

404

AI Decision-Making

405

[MINI] Reinforcement Learning

406

Evolutionary Computation

407

[MINI] Markov Decision Processes

408

Neuroscience Frontiers

409

Neuroimaging and Big Data

410

The Agent Model of Artificial Intelligence

411

Artificial Intelligence, a Podcast Approach

412

Holiday reading 2017

413

Complexity and Cryptography

414

Mercedes Benz Machine Learning Research

415

[MINI] Parallel Algorithms

416

Quantum Computing

417

Azure Databricks

418

[MINI] Exponential Time Algorithms

419

P vs NP

420

[MINI] Sudoku \in NP

421

The Computational Complexity of Machine Learning

422

[MINI] Turing Machines

423

The Complexity of Learning Neural Networks

424

[MINI] Big Oh Analysis

425

Data science tools and other announcements from Ignite

426

Generative AI for Content Creation

427

[MINI] One Shot Learning

428

Recommender Systems Live from FARCON 2017

429

[MINI] Long Short Term Memory

430

Zillow Zestimate

431

Cardiologist Level Arrhythmia Detection with CNNs

432

[MINI] Recurrent Neural Networks

433

Project Common Voice

434

[MINI] Bayesian Belief Networks

435

pix2code

436

[MINI] Conditional Independence

437

Estimating Sheep Pain with Facial Recognition

438

CosmosDB

439

[MINI] The Vanishing Gradient

440

Doctor AI

441

[MINI] Activation Functions

442

MS Build 2017

443

[MINI] Max-pooling

444

Unsupervised Depth Perception

445

[MINI] Convolutional Neural Networks

446

Multi-Agent Diverse Generative Adversarial Networks

447

[MINI] Generative Adversarial Networks

448

Opinion Polls for Presidential Elections

449

OpenHouse

450

[MINI] GPU CPU

451

[MINI] Backpropagation

452

Data Science at Patreon

453

[MINI] Feed Forward Neural Networks

454

Reinventing Sponsored Search Auctions

455

[MINI] The Perceptron

456

The Data Refuge Project

457

[MINI] Automated Feature Engineering

458

Big Data Tools and Trends

459

[MINI] Primer on Deep Learning

460

Data Provenance and Reproducibility with Pachyderm

461

[MINI] Logistic Regression on Audio Data

462

Studying Competition and Gender Through Chess

463

[MINI] Dropout

464

The Police Data and the Data Driven Justice Initiatives

465

The Library Problem

466

2016 Holiday Special

467

[MINI] Entropy

468

MS Connect Conference

469

Causal Impact

470

[MINI] The Bootstrap

471

[MINI] Gini Coefficients

472

Unstructured Data for Finance

473

[MINI] AdaBoost

474

Stealing Models from the Cloud

475

[MINI] Calculating Feature Importance

476

NYC Bike Share Rebalancing

477

[MINI] Random Forest

478

Election Predictions

479

[MINI] F1 Score

480

Urban Congestion

481

[MINI] Heteroskedasticity

482

Music21

483

[MINI] Paxos

484

Trusting Machine Learning Models with LIME

485

[MINI] ANOVA

486

Machine Learning on Images with Noisy Human-centric Labels

487

[MINI] Survival Analysis

488

Predictive Models on Random Data

489

[MINI] Receiver Operating Characteristic (ROC) Curve

490

Multiple Comparisons and Conversion Optimization

491

[MINI] Leakage

492

Predictive Policing

493

[MINI] The CAP Theorem

494

Detecting Terrorists with Facial Recognition?

495

[MINI] Goodhart's Law

496

Data Science at eHarmony

497

[MINI] Stationarity and Differencing

498

Feather

499

[MINI] Bargaining

500

deepjazz

501

[MINI] Auto-correlative functions and correlograms

502

Early Identification of Violent Criminal Gang Members

503

[MINI] Fractional Factorial Design

504

Machine Learning Done Wrong

505

Potholes

506

[MINI] The Elbow Method

507

Too Good to be True

508

[MINI] R-squared

509

Models of Mental Simulation

510

[MINI] Multiple Regression

511

Scientific Studies of People's Relationship to Music

512

[MINI] k-d trees

513

Auditing Algorithms

514

[MINI] The Bonferroni Correction

515

[MINI] Gradient Descent

516

Let's Kill the Word Cloud

517

2015 Holiday Special

518

Wikipedia Revision Scoring as a Service

519

[MINI] Term Frequency - Inverse Document Frequency

520

The Hunt for Vulcan

521

[MINI] The Accuracy Paradox

522

Neuroscience from a Data Scientist's Perspective

523

[MINI] Bias Variance Tradeoff

524

Big Data Doesn't Exist

525

[MINI] Covariance and Correlation

526

Bayesian A/B Testing

527

[MINI] The Central Limit Theorem

528

Accessible Technology

529

[MINI] Multi-armed Bandit Problems

530

[MINI] Structured and Unstructured Data

531

Measuring the Influence of Fashion Designers

532

[MINI] PageRank

533

Data Science at Work in LA County

534

[MINI] k-Nearest Neighbors

535

Crypto

536

[MINI] MapReduce

537

Genetically Engineered Food and Trends in Herbicide Usage

538

[MINI] The Curse of Dimensionality

539

Video Game Analytics

540

[MINI] Anscombe's Quartet

541

Proposing Annoyance Mining

542

Preserving History at Cyark

543

[MINI] A Critical Examination of a Study of Marriage by Political Affiliation

544

Detecting Cheating in Chess

545

[MINI] z-scores

546

Using Data to Help Those in Crisis

547

The Ghost in the MP3

548

Data Fest 2015

549

[MINI] Cornbread and Overdispersion

550

[MINI] Natural Language Processing

551

Computer-based Personality Judgments

552

[MINI] Markov Chain Monte Carlo

553

[MINI] Markov Chains

554

Oceanography and Data Science

555

[MINI] Ordinary Least Squares Regression

556

NYC Speed Camera Analysis with Tim Schmeier

557

[MINI] k-means clustering

558

Shadow Profiles on Social Networks

559

[MINI] The Chi-Squared Test

560

Mapping Reddit Topics with Randy Olson

561

[MINI] Partially Observable State Spaces

562

Easily Fooling Deep Neural Networks

563

[MINI] Data Provenance

564

Doubtful News, Geology, Investigating Paranormal Groups, and Thinking Scientifically with Sharon Hill

565

[MINI] Belief in Santa

566

Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus

567

[MINI] The Battle of the Sexes

568

The Science of Online Data at Plenty of Fish with Thomas Levi

569

[MINI] The Girlfriend Equation

570

The Secret and the Global Consciousness Project with Alex Boklin

571

[MINI] Monkeys on Typewriters

572

Mining the Social Web with Matthew Russell

573

[MINI] Is the Internet Secure?

574

Practicing and Communicating Data Science with Jeff Stanton

575

[MINI] The T-Test

576

Data Myths with Karl Mamer

577

Contest Announcement

578

[MINI] Selection Bias

579

[MINI] Confidence Intervals

580

[MINI] Value of Information

581

Game Science Dice with Louis Zocchi

582

Data Science at ZestFinance with Marick Sinay

583

[MINI] Decision Tree Learning

584

Jackson Pollock Authentication Analysis with Kate Jones-Smith

585

[MINI] Noise!!

586

Guerilla Skepticism on Wikipedia with Susan Gerbic

587

[MINI] Ant Colony Optimization

588

Data in Healthcare IT with Shahid Shah

589

[MINI] Cross Validation

590

Streetlight Outage and Crime Rate Analysis with Zach Seeskin

591

[MINI] Experimental Design

592

The Right (big data) Tool for the Job with Jay Shankar

593

[MINI] Bayesian Updating

594

Personalized Medicine with Niki Athanasiadou

595

[MINI] p-values

596

Advertising Attribution with Nathan Janos

597

[MINI] type i / type ii errors

598

Introduction