Data Skeptic

Comparing Time Series with HCTSA

15 Nov 2021

Contributed by Lukas

Today we are joined again by Ben Fulcher, leader of the Dynamics and Neural Systems Group at the University of Sydney in Australia, to talk about hcts...

Change Point Detection Algorithms

08 Nov 2021

Contributed by Lukas

Gerrit van den Burg, Postdoctoral Researcher at The Alan Turing Institute, joins us today to discuss his work "An Evaluation of Change Point Detection...

Time Series for Good

01 Nov 2021

Contributed by Lukas

Bahman Rostami-Tabar, Senior Lecturer in Management Science at Cardiff University, joins us today to talk about his work "Forecasting and its Benefici...

Long Term Time Series Forecasting

25 Oct 2021

Contributed by Lukas

Alex Mallen, Computer Science student at the University of Washington, and Henning Lange, a Postdoctoral Scholar in Applied Math at the University of ...

Fast and Frugal Time Series Forecasting

17 Oct 2021

Contributed by Lukas

Fotios Petropoulos, Professor of Management Science at the University of Bath in The U.K., joins us today to talk about his work "Fast and Frugal Time...

Causal Inference in Educational Systems

11 Oct 2021

Contributed by Lukas

Manie Tadayon, a PhD graduate from the ECE department at University of California, Los Angeles, joins us today to talk about his work "Comparative Ana...

Boosted Embeddings for Time Series

04 Oct 2021

Contributed by Lukas

Sankeerth Rao Karingula, ML Researcher at Palo Alto Networks, joins us today to talk about his work "Boosted Embeddings for Time Series Forecasting." ...

Change Point Detection in Continuous Integration Systems

27 Sep 2021

Contributed by Lukas

David Daly, Performance Engineer at MongoDB, joins us today to discuss "The Use of Change Point Detection to Identify Software Performance Regressions...

Applying k-Nearest Neighbors to Time Series

20 Sep 2021

Contributed by Lukas

Samya Tajmouati, a PhD student in Data Science at the University of Science of Kenitra, Morocco, joins us today to discuss her work Applying K-Nearest...

Ultra Long Time Series

13 Sep 2021

Contributed by Lukas

Dr. Feng Li, (@f3ngli) is an Associate Professor of Statistics in the School of Statistics and Mathematics at Central University of Finance and Econom...

MiniRocket

06 Sep 2021

Contributed by Lukas

Angus Dempster, PhD Student at Monash University in Australia, comes on today to talk about MINIROCKET: A Very Fast (Almost) Deterministic Transform f...

ARiMA is not Sufficient

30 Aug 2021

Contributed by Lukas

Chongshou Li, Associate Professor at Southwest Jiaotong University in China, joins us today to talk about his work Why are the ARIMA and SARIMA not Su...

Comp Engine

23 Aug 2021

Contributed by Lukas

Ben Fulcher, Senior Lecturer at the School of Physics at the University of Sydney in Australia, comes on today to talk about his project Comp Engine. ...

Detecting Ransomware

16 Aug 2021

Contributed by Lukas

Nitin Pundir, PhD candidate at University Florida and works at the Florida Institute for Cybersecurity Research, comes on today to talk about his wor...

GANs in Finance

09 Aug 2021

Contributed by Lukas

Florian Eckerli, a recent graduate of Zurich University of Applied Sciences, comes on the show today to discuss his work Generative Adversarial Networ...

Predicting Urban Land Use

02 Aug 2021

Contributed by Lukas

Today on the show we have Daniel Omeiza, a doctoral student in the computer science department of the University of Oxford, who joins us to talk about...

Opportunities for Skillful Weather Prediction

26 Jul 2021

Contributed by Lukas

Today on the show we have Elizabeth Barnes, Associate Professor in the department of Atmospheric Science at Colorado State University, who joins us to...

Predicting Stock Prices

19 Jul 2021

Contributed by Lukas

Today on the show we have Andrea Fronzetti Colladon (@iandreafc), currently working at the University of Perugia and inventor of the Semantic Brand Sc...

N-Beats

12 Jul 2021

Contributed by Lukas

Today on the show we have Boris Oreshkin @boreshkin, a Senior Research Scientist at Unity Technologies, who joins us today to talk about his work N-BE...

Translation Automation

06 Jul 2021

Contributed by Lukas

Today we are back with another episode discussing AI in the work field. AI has, is, and will continue to facilitate the automation of work done by hum...

Time Series at the Beach

28 Jun 2021

Contributed by Lukas

Shane Ross, Professor of Aerospace and Ocean Engineering at Virginia Tech University, comes on today to talk about his work "Beach-level 24-hour forec...

Automatic Identification of Outlier Galaxy Images

21 Jun 2021

Contributed by Lukas

Lior Shamir, Associate Professor of Computer Science at Kansas University, joins us today to talk about the recent paper Automatic Identification of O...

Do We Need Deep Learning in Time Series

16 Jun 2021

Contributed by Lukas

Shereen Elsayed and Daniela Thyssens, both are PhD Student at Hildesheim University in Germany, come on today to talk about the work "Do We Really Nee...

Detecting Drift

11 Jun 2021

Contributed by Lukas

Sam Ackerman, Research Data Scientist at IBM Research Labs in Haifa, Israel, joins us today to talk about his work Detection of Data Drift and Outlier...

Darts Library for Time Series

31 May 2021

Contributed by Lukas

Julien Herzen, PhD graduate from EPFL in Switzerland, comes on today to talk about his work with Unit 8 and the development of the Python Library: Dar...

Forecasting Principles and Practice

24 May 2021

Contributed by Lukas

Welcome to Timeseries! Today's episode is an interview with Rob Hyndman, Professor of Statistics at Monash University in Australia, and author of Fore...

Prequisites for Time Series

21 May 2021

Contributed by Lukas

Today's experimental episode uses sound to describe some basic ideas from time series. This episode includes lag, seasonality, trend, noise, heteroske...

Orders of Magnitude

07 May 2021

Contributed by Lukas

Today's show in two parts. First, Linhda joins us to review the episodes from Data Skeptic: Pilot Season and give her feedback on each of the topics....

They're Coming for Our Jobs

03 May 2021

Contributed by Lukas

AI has, is, and will continue to facilitate the automation of work done by humans. Sometimes this may be an entire role. Other times it may automate a...

Pandemic Machine Learning Pitfalls

26 Apr 2021

Contributed by Lukas

Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for ...

Flesch Kincaid Readability Tests

19 Apr 2021

Contributed by Lukas

Given a document in English, how can you estimate the ease with which someone will find they can read it?  Does it require a college-level of reading...

Fairness Aware Outlier Detection

09 Apr 2021

Contributed by Lukas

Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-awa...

Life May be Rare

05 Apr 2021

Contributed by Lukas

Today on the show Dr. Anders Sandburg, Senior Research Fellow at the Future of Humanity Institute at Oxford University, comes on to share his work "Th...

Social Networks

29 Mar 2021

Contributed by Lukas

Mayank Kejriwal, Research Professor at the University of Southern California and Researcher at the Information Sciences Institute, joins us today to d...

The QAnon Conspiracy

22 Mar 2021

Contributed by Lukas

QAnon is a conspiracy theory born in the underbelly of the internet.  While easy to disprove, these cryptic ideas captured the minds of many people a...

Benchmarking Vision on Edge vs Cloud

15 Mar 2021

Contributed by Lukas

Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discu...

Goodhart's Law in Reinforcement Learning

05 Mar 2021

Contributed by Lukas

Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work Causal Campbell-Goodhart's law and Reinforcem...

Video Anomaly Detection

01 Mar 2021

Contributed by Lukas

Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work "Video Anomaly Detection by ...

Fault Tolerant Distributed Gradient Descent

22 Feb 2021

Contributed by Lukas

Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work "Byzantine Fault-Tole...

Decentralized Information Gathering

15 Feb 2021

Contributed by Lukas

Mikko Lauri, Post Doctoral researcher at the University of Hamburg, Germany, comes on the show today to discuss the work Information Gathering in De...

Leaderless Consensus

05 Feb 2021

Contributed by Lukas

Balaji Arun, a PhD Student in the Systems of Software Research Group at Virginia Tech, joins us today to discuss his research of distributed systems ...

Automatic Summarization

29 Jan 2021

Contributed by Lukas

Maartje ter Hoeve, PhD Student at the University of Amsterdam, joins us today to discuss her research in automated summarization through the paper "Wh...

Gerrymandering

22 Jan 2021

Contributed by Lukas

Brian Brubach, Assistant Professor in the Computer Science Department at Wellesley College, joins us today to discuss his work "Meddling Metrics: the...

Even Cooperative Chess is Hard

15 Jan 2021

Contributed by Lukas

Aside from victory questions like "can black force a checkmate on white in 5 moves?" many novel questions can be asked about a game of chess. Some que...

Consecutive Votes in Paxos

11 Jan 2021

Contributed by Lukas

Eil Goldweber, a graduate student at the University of Michigan, comes on today to share his work in applying formal verification to systems and a mod...

Visual Illusions Deceiving Neural Networks

01 Jan 2021

Contributed by Lukas

Today on the show we have Adrian Martin, a Post-doctoral researcher from the University of Pompeu Fabra in Barcelona, Spain. He comes on the show toda...

Earthquake Detection with Crowd-sourced Data

25 Dec 2020

Contributed by Lukas

Have you ever wanted to hear what an earthquake sounds like? Today on the show we have Omkar Ranadive, Computer Science Masters student at NorthWester...

Byzantine Fault Tolerant Consensus

22 Dec 2020

Contributed by Lukas

Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and...

Alpha Fold

11 Dec 2020

Contributed by Lukas

Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction.  By many accounts, this ...

Arrow's Impossibility Theorem

04 Dec 2020

Contributed by Lukas

Above all, everyone wants voting to be fair. What does fair mean and how can we measure it? Kenneth Arrow posited a simple set of conditions that one ...

Face Mask Sentiment Analysis

27 Nov 2020

Contributed by Lukas

As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Tw...

Counting Briberies in Elections

20 Nov 2020

Contributed by Lukas

Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in electi...

Sybil Attacks on Federated Learning

13 Nov 2020

Contributed by Lukas

Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a def...

Differential Privacy at the US Census

06 Nov 2020

Contributed by Lukas

Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bur...

Distributed Consensus

30 Oct 2020

Contributed by Lukas

Computer Science research fellow of Cambridge University, Heidi Howard discusses Paxos, Raft, and distributed consensus in distributed systems alongsi...

ACID Compliance

23 Oct 2020

Contributed by Lukas

Linhda joins Kyle today to talk through A.C.I.D. Compliance (atomicity, consistency, isolation, and durability). The presence of these four components...

National Popular Vote Interstate Compact

16 Oct 2020

Contributed by Lukas

Patrick Rosenstiel joins us to discuss the The National Popular Vote.

Defending the p-value

12 Oct 2020

Contributed by Lukas

Yudi Pawitan joins us to discuss his paper Defending the P-value.

Retraction Watch

05 Oct 2020

Contributed by Lukas

Ivan Oransky joins us to discuss his work documenting the scientific peer-review process at retractionwatch.com.  

Crowdsourced Expertise

21 Sep 2020

Contributed by Lukas

Derek Lim joins us to discuss the paper Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.  

The Spread of Misinformation Online

14 Sep 2020

Contributed by Lukas

Neil Johnson joins us to discuss the paper The online competition between pro- and anti-vaccination views.

Consensus Voting

07 Sep 2020

Contributed by Lukas

Mashbat Suzuki joins us to discuss the paper How Many Freemasons Are There? The Consensus Voting Mechanism in Metric Spaces. Check out Mashbat's an...

Voting Mechanisms

31 Aug 2020

Contributed by Lukas

Steven Heilman joins us to discuss his paper Designing Stable Elections. For a general interest article, see: https://theconversation.com/the-elector...

False Consensus

24 Aug 2020

Contributed by Lukas

Sami Yousif joins us to discuss the paper The Illusion of Consensus: A Failure to Distinguish Between True and False Consensus. This work empiricall...

Fraud Detection in Real Time

18 Aug 2020

Contributed by Lukas

In this solo episode, Kyle overviews the field of fraud detection with eCommerce as a use case.  He discusses some of the techniques and system archi...

Listener Survey Review

11 Aug 2020

Contributed by Lukas

In this episode, Kyle and Linhda review the results of our recent survey. Hear all about the demographic details and how we interpret these results.

Human Computer Interaction and Online Privacy

27 Jul 2020

Contributed by Lukas

Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.

Authorship Attribution of Lennon McCartney Songs

20 Jul 2020

Contributed by Lukas

Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.

GANs Can Be Interpretable

11 Jul 2020

Contributed by Lukas

Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this a...

Sentiment Preserving Fake Reviews

06 Jul 2020

Contributed by Lukas

David Ifeoluwa Adelani joins us to discuss Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Ma...

Interpretability Practitioners

26 Jun 2020

Contributed by Lukas

Sungsoo Ray Hong joins us to discuss the paper Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.

Facial Recognition Auditing

19 Jun 2020

Contributed by Lukas

Deb Raji joins us to discuss her recent publication Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.

Robust Fit to Nature

12 Jun 2020

Contributed by Lukas

Uri Hasson joins us this week to discuss the paper Robust-fit to Nature: An Evolutionary Perspective on Biological (and Artificial) Neural Networks...

Black Boxes Are Not Required

05 Jun 2020

Contributed by Lukas

Deep neural networks are undeniably effective. They rely on such a high number of parameters, that they are appropriately described as "black boxes"....

Robustness to Unforeseen Adversarial Attacks

30 May 2020

Contributed by Lukas

Daniel Kang joins us to discuss the paper Testing Robustness Against Unforeseen Adversaries.

Estimating the Size of Language Acquisition

22 May 2020

Contributed by Lukas

Frank Mollica joins us to discuss the paper Humans store about 1.5 megabytes of information during language acquisition

Interpretable AI in Healthcare

15 May 2020

Contributed by Lukas

Jayaraman Thiagarajan joins us to discuss the recent paper Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.

Understanding Neural Networks

08 May 2020

Contributed by Lukas

What does it mean to understand a neural network? That's the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap about this and se...

Self-Explaining AI

02 May 2020

Contributed by Lukas

Dan Elton joins us to discuss self-explaining AI. What could be better than an interpretable model? How about a model wich explains itself in a conv...

Plastic Bag Bans

24 Apr 2020

Contributed by Lukas

Becca Taylor joins us to discuss her work studying the impact of plastic bag bans as published in Bag Leakage: The Effect of Disposable Carryout Bag...

Self Driving Cars and Pedestrians

18 Apr 2020

Contributed by Lukas

We are joined by Arash Kalatian to discuss Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretabl...

Computer Vision is Not Perfect

10 Apr 2020

Contributed by Lukas

Computer Vision is not Perfect Julia Evans joins us help answer the question why do neural networks think a panda is a vulture. Kyle talks to Julia...

Uncertainty Representations

04 Apr 2020

Contributed by Lukas

Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work on visualizing...

AlphaGo, COVID-19 Contact Tracing and New Data Set

28 Mar 2020

Contributed by Lukas

Announcing Journal Club I am pleased to announce Data Skeptic is launching a new spin-off show called "Journal Club" with similar themes but a very di...

Visualizing Uncertainty

20 Mar 2020

Contributed by Lukas

Interpretability Tooling

13 Mar 2020

Contributed by Lukas

Pramit Choudhary joins us to talk about the methodologies and tools used to assist with model interpretability.

Shapley Values

06 Mar 2020

Contributed by Lukas

Kyle and Linhda discuss how Shapley Values might be a good tool for determining what makes the cut for a home renovation.

Anchors as Explanations

28 Feb 2020

Contributed by Lukas

We welcome back Marco Tulio Ribeiro to discuss research he has done since our original discussion on LIME. In particular, we ask the question Are ...

Mathematical Models of Ecological Systems

22 Feb 2020

Contributed by Lukas

Adversarial Explanations

14 Feb 2020

Contributed by Lukas

Walt Woods joins us to discuss his paper Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robust...

ObjectNet

07 Feb 2020

Contributed by Lukas

Andrei Barbu joins us to discuss ObjectNet - a new kind of vision dataset. In contrast to ImageNet, ObjectNet seeks to provide images that are more...

Visualization and Interpretability

31 Jan 2020

Contributed by Lukas

Enrico Bertini joins us to discuss how data visualization can be used to help make machine learning more interpretable and explainable. Find out more...

Interpretable One Shot Learning

26 Jan 2020

Contributed by Lukas

We welcome Su Wang back to Data Skeptic to discuss the paper Distributional modeling on a diet: One-shot word learning from text only.

Fooling Computer Vision

22 Jan 2020

Contributed by Lukas

Wiebe van Ranst joins us to talk about a project in which specially designed printed images can fool a computer vision system, preventing it from iden...

Algorithmic Fairness

14 Jan 2020

Contributed by Lukas

This episode includes an interview with Aaron Roth author of The Ethical Algorithm.

Interpretability

07 Jan 2020

Contributed by Lukas

Interpretability Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes...

NLP in 2019

31 Dec 2019

Contributed by Lukas

A year in recap.

The Limits of NLP

24 Dec 2019

Contributed by Lukas

We are joined by Colin Raffel to discuss the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer".

Jumpstart Your ML Project

15 Dec 2019

Contributed by Lukas

Seth Juarez joins us to discuss the toolbox of options available to a data scientist to jumpstart or extend their machine learning efforts.

Serverless NLP Model Training

10 Dec 2019

Contributed by Lukas

Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline.  The is a technical...