Visualization and Interpretability

FromData Skeptic

Start listening View podcast show

Visualization and Interpretability

FromData Skeptic

ratings:

Length:

36 minutes

Released:

Jan 31, 2020

Format:

Podcast episode

Description

Enrico Bertini joins us to discuss how data visualization can be used to help make machine learning more interpretable and explainable. Find out more about Enrico at http://enrico.bertini.io/. More from Enrico with co-host Moritz Stefaner on the Data Stories podcast!

Released:

Jan 31, 2020

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

Skip carousel

[MINI] Bayesian Updating: In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence. by Data Skeptic
11 min listen
[MINI] Decision Tree Learning: Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is the algorithmic process of trying to generate an optimal decision tree to properly classify or forecast some future unlabeled element based by... by Data Skeptic
13 min listen
[MINI] Is the Internet Secure?: This episode explores the basis of why we can trust encryption. Suprisingly, a discussion of looking up a word in the dictionary (binary search) and efficiently going wine tasting (the travelling salesman problem) help introduce computational... by Data Skeptic
26 min listen
[MINI] Confidence Intervals: Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals. by Data Skeptic
12 min listen
[MINI] Selection Bias: A discussion about conducting US presidential election polls helps frame a converation about selection bias. by Data Skeptic
15 min listen
[MINI] Ant Colony Optimization: In this week's mini episode, Linhda and Kyle discuss Ant Colony Optimization - a numerical / stochastic optimization technique which models its search after the process ants employ in using random walks to find a goal (food) and then leaving a... by Data Skeptic
15 min listen
[MINI] Experimental Design: This episode loosely explores the topic of Experimental Design including hypothesis testing, the importance of statistical tests, and an everyday and business example. by Data Skeptic
16 min listen
Introduction: The Data Skeptic Podcast features conversations with 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... by Data Skeptic
4 min listen
[MINI] p-values: In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and how statistical significance played a role. by Data Skeptic
17 min listen
Guerilla Skepticism on Wikipedia with Susan Gerbic: Our guest this week is Susan Gerbic. Susan is a skeptical activist involved in many activities, the one we focus on most in this episode is Guerrilla Skepticism on Wikipedia, an organization working to improve the content and citations of... by Data Skeptic
70 min listen
The Right (big data) Tool for the Job with Jay Shankar: In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide... by Data Skeptic
50 min listen
[MINI] Monkeys on Typewriters: What is randomness? How can we determine if some results are randomly generated or not? Why are random numbers important to us in our everyday life? These topics and more are discussed in this mini-episode on random numbers. Many readers will be... by Data Skeptic
3 min listen
[MINI] type i / type ii errors: In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives). by Data Skeptic
11 min listen
Streetlight Outage and Crime Rate Analysis with Zach Seeskin: This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship. The project involved exploring the... by Data Skeptic
33 min listen
[MINI] Cross Validation: This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can... by Data Skeptic
1 min listen
Personalized Medicine with Niki Athanasiadou: In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible. by Data Skeptic
57 min listen
Data Myths with Karl Mamer: Black out baby boom | Subliminal messages | Beer and Diapers by Data Skeptic
48 min listen
[MINI] The Girlfriend Equation: Economist Peter Backus put forward "The Girlfriend Equation" while working on his PhD - a probabilistic model attempting to estimate the likelihood of him finding a girlfriend. In this mini episode we explore the soundness of his model and also share... by Data Skeptic
16 min listen
NYC Speed Camera Analysis with Tim Schmeier: New York State approved the use of automated speed cameras within a specific range of schools. Tim Schmeier did an analysis of publically available data related to these cameras as part of a project at the NYC Data Science Academy. Tim's work... by Data Skeptic
17 min listen
[MINI] Value of Information: A discussion about getting ready in the morning, negotiating a used car purchase, and selecting the best AirBnB place to stay at help frame a conversation about the decision theoretic principal known as the Value of Information equation. by Data Skeptic
14 min listen
Data in Healthcare IT with Shahid Shah: Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Care Guy, Shahid Shah, and HitSphere - the Healthcare IT Supersite. During the program, Kyle recommended a talk from the 2014 MIT Sloan CIO Symposium... by Data Skeptic
57 min listen
Data Science at ZestFinance with Marick Sinay: Marick Sinay from ZestFianance is our guest this weel. This episode explores how data science techniques are applied in the financial world, specifically in assessing credit worthiness. by Data Skeptic
31 min listen
Advertising Attribution with Nathan Janos: A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return. by Data Skeptic
76 min listen
The Secret and the Global Consciousness Project with Alex Boklin: I'm joined this week by Alex Boklin to explore the topic of magical thinking especially in the context of Rhonda Byrne's "The Secret", and the similarities it bears to The Global Consciousness Project (GCP). The GCP puts forward the hypothesis that... by Data Skeptic
42 min listen
Data Fest 2015: This episode contains converage of the 2015 Data Fest hosted at UCLA. Data Fest is an analysis competition that gives teams of students 48 hours to explore a new dataset and present novel findings. This year, data from Edmunds.com... by Data Skeptic
27 min listen
[MINI] Partially Observable State Spaces: When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in. In many applications the manner in which the state changes from one to another is not completely predictable,... by Data Skeptic
13 min listen
[MINI] The Battle of the Sexes: Love and Data is the continued theme in this mini-episode as we discuss the game theory example of The Battle of the Sexes. In this textbook example, a couple must strategize about how to spend their Friday night. One partner prefers football games... by Data Skeptic
18 min listen
Game Science Dice with Louis Zocchi: In this bonus episode, guest Louis Zocchi discusses his background in the gaming industry, specifically, how he became a manufacturer of dice designed to produce statistically uniform outcomes. During the show Louis mentioned a two part video... by Data Skeptic
47 min listen
[MINI] The Chi-Squared Test: The χ2 (Chi-Squared) test is a methodology for hypothesis testing. When one has categorical data, in the form of frequency counts or observations (e.g. Vegetarian, Pescetarian, and Omnivore), split into two or more categories (e.g. Male,... by Data Skeptic
18 min listen
Mapping Reddit Topics with Randy Olson: My quest this week is noteworthy a.i. researcher Randy Olson who joins me to share his work creating the Reddit World Map - a visualization that illuminates clusters in the reddit community based on user behavior. Randy's blog... by Data Skeptic
30 min listen

More Episodes from Data Skeptic

Skip carousel

Behavioral Genetics: It’s almost impossible to think about animal behavior without thinking of dogs! Our canine friends are a subspecies of wolf that has been co-evolving with us for tens of thousands of years. The transition from wolf to pet has required intense... by Data Skeptic
47 min listen
Signal in the Noise: In this episode, we are joined by Barbara Webb and Anna Hadjitofi. Barbara runs the Insect Robotics lab at the University of Edinburgh, and Anna is a PhD student at the School of Informatics at the university. She is interested in studying and... by Data Skeptic
42 min listen
Pose Tracking: Many researchers and students have painstakingly labeled precise details about the body positions of the creatures they study. Can AI be used for this labeling? Of course it can! Today's episode discusses Social LEAP Estimates Animal Poses (SLEAP), a... by Data Skeptic
51 min listen
Modeling Group Behavior: Our guest in this episode is Sebastien Motsch, an assistant professor at Arizona State University, working in the School of Mathematical and Statistical Science. He works on modeling self-organized biological systems to understand how complex patterns... by Data Skeptic
41 min listen
Advances in Data Loggers: Our guest in this episode is Ryan Hanscom. Ryan is a Ph.D. candidate in a joint doctoral evolution program at San Diego State University and the University of California, Riverside. He is a terrestrial ecologist with a focus on herpetology and... by Data Skeptic
36 min listen
What You Know About Intelligence is Wrong (fixed): We are joined by Hank Schlinger, a professor of psychology at California State University, Los Angeles. His research revolves around theoretical issues in psychology and behavioral analysis. Hank establishes that words have references and... by Data Skeptic
42 min listen
Animal Decision Making: On today’s episode, we are joined by Aimee Dunlap. Aimee is an assistant professor at the University of Missouri–St. Louis and the interim director at the Whitney R. Harris World Ecology Center. Aimee discussed how animals perceive information and... by Data Skeptic
37 min listen
Octopus Cognition: We are joined by Tamar Gutnick, a visiting professor at the University of Naples Federico II, Napoli, Italy. She studies the octopus nervous system and their behavior, focusing on cognition and learning behaviors. Tamar gave a background to the kind... by Data Skeptic
38 min listen
Optimal Foraging: Claire Hemmingway, an assistant professor in the Department of Psychology and Ecology and Evolutionary Biology at the University of Tennessee in Knoxville, is our guest today. Her research is on decision-making in animal cognition, focusing on... by Data Skeptic
38 min listen
Memory in Chess: On today’s show, we are joined by our co-host, Becky Hansis-O’Neil. Becky is a Ph.D. student at the University of Missouri, St Louis, where she studies bumblebees and tarantulas to understand their learning and cognitive work. She joins us... by Data Skeptic
49 min listen
OpenWorm: On this episode, we are joined by Stephen Larson, the CEO of MetaCell and an affiliate of the OpenWorm foundation. Stephen discussed what the Openworm project is about. They hope to use a digital C. elegans nematode (C. elegans for... by Data Skeptic
34 min listen
What the Antlion Knows: Our guest is Becky Hansis-O’Neil, a Ph.D. student at the University of Missouri, St Louis, and our co-host for the new "Animal Intelligence" season. Becky shares her background on how she got into the field of behavioral intelligence and biology. by Data Skeptic
42 min listen
AI Roundtable: Kyle is joined by friends and former guests Pramit Choudhary and Frank Bell to have an open discussion of the impacts LLMs and machine learning have had in the past year on industry, and where things may go in the current year. by Data Skeptic
51 min listen
Uncontrollable AI Risks: We are joined by Darren McKee, a Policy Advisor and the host of Reality Check — a critical thinking podcast. Darren gave a background about himself and how he got into the AI space. Darren shared his thoughts on AGI's achievements in the coming... by Data Skeptic
39 min listen
I LLM and You Can Too: It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using... by Data Skeptic
24 min listen
Q&A with Kyle: We celebrate episode 1000000000 with some Q&A from host Kyle Polich. We boil this episode down to four key questions: 1) How do you find guests 2) What is Data Skeptic all about? 3) What is Kyle all about? 4) What are Kyle's thoughts on AGI?... by Data Skeptic
40 min listen
LLMs for Data Analysis: In this episode, we are joined by Amir Netz, a Technical Fellow at Microsoft and the CTO of Microsoft Fabric. He discusses how companies can use Microsoft's latest tools for business intelligence. Amir started by discussing how business intelligence... by Data Skeptic
29 min listen
AI Platforms: Our guest today is Eric Boyd, the Corporate Vice President of AI at Microsoft. Eric joins us to share how organizations can leverage AI for faster development. Eric shared the benefits of using natural language to build products. He discussed the... by Data Skeptic
34 min listen
Deploying LLMs: We are excited to be joined by Aaron Reich and Priyanka Shah. Aaron is the CTO at Avanade, while Priyanka leads their AI/IoT offering for the SEA Region. Priyanka is also the MVP for Microsoft AI. They join us to discuss how LLMs are deployed in... by Data Skeptic
35 min listen
A Survey Assessing Github Copilot: In this episode, we are joined by Jenny Liang, a PhD student at Carnegie Mellon University, where she studies the usability of code generation tools. She discusses her recent survey on the usability of AI programming assistants. Jenny discussed the... by Data Skeptic
26 min listen
Program Aided Language Models: We are joined by Aman Madaan and Shuyan Zhou. They are both PhD students at the Language Technology Institute at Carnegie Mellon University. They join us to discuss their latest published paper, PAL: Program-aided Language Models. Aman and Shuyan... by Data Skeptic
32 min listen
Which Programming Language is ChatGPT Best At: In this episode, we have Alessio Buscemi, a software engineer at Lifeware SA. Alessio was a post-doctoral researcher at the University of Luxembourg. He joins us to discuss his paper, A Comparative Study of Code Generation using ChatGPT 3.5 across 10... by Data Skeptic
40 min listen
GraphText: On the show today, we are joined by Jianan Zhao, a Computer Science student at Mila and the University of Montreal. His research focus is on graph databases and natural language processing. He joins us to discuss how to use graphs with LLMs... by Data Skeptic
31 min listen
arXiv Publication Patterns: Today, we are joined by Rajiv Movva, a PhD student in Computer Science at Cornell Tech University. His research interest lies in the intersection of responsible AI and computational social science. He joins to discuss the findings of this work that... by Data Skeptic
28 min listen
Do LLMs Make Ethical Choices: We are excited to be joined by Josh Albrecht, the CTO of Imbue. Imbue is a research company whose mission is to create AI agents that are more robust, safer, and easier to use. He joins us to share findings of his work; Despite "super-human"... by Data Skeptic
29 min listen
Emergent Deception in LLMs: On today’s show, we are joined by Thilo Hagendorff, a Research Group Leader of Ethics of Generative AI at the University of Stuttgart. He joins us to discuss his research, . Thilo discussed how machine psychology is useful in machine learning... by Data Skeptic
27 min listen
Agents with Theory of Mind Play Hanabi: Nieves Montes, a Ph.D. student at the Artificial Intelligence Research Institute in Barcelona, Spain, joins us. Her PhD research revolves around value-based reasoning in relation to norms. She shares her latest study, Combining theory of mind and... by Data Skeptic
38 min listen
LLMs for Evil: We are joined by Maximilian Mozes, a PhD student at the University College, London. His PhD research focuses on Natural Language Processing (NLP), particularly the intersection of adversarial machine learning and NLP. He joins us to discuss his latest... by Data Skeptic
26 min listen
The Defeat of the Winograd Schema Challenge: Our guest today is Vid Kocijan, a Machine Learning Engineer at Kumo AI. Vid has a Ph.D. in Computer Science at the University of Oxford. His research focused on common sense reasoning, pre-training in LLMs, pretraining in knowledge-based completion,... by Data Skeptic
31 min listen

Related podcast episodes

Skip carousel

#63 The Past and Present of Data Science by DataFramed
67 min listen
Graph Analytic Systems with Zachary Hanif - TWiML Talk #188: In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. Zach led a session at Strata called “Network effects: Working with modern... by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
54 min listen
Let's Talk About Natural Language Processing: This episode reboots our podcast with the theme of Natural Language Processing for the next few months. We begin with introductions of Yoshi and Linh Da and then get into a broad discussion about natural language processing: what it is, what some of... by Data Skeptic
36 min listen
Bayesian A/B Testing: Today's guest is Cameron Davidson-Pilon. Cameron has a masters degree in quantitative finance from the University of Waterloo. Think of it as statistics on stock markets. For the last two years he's been the team lead of data science at Shopify. He's... by Data Skeptic
30 min listen
How DevOps is like Microsoft Excel by The Cloudcast
20 min listen
Algorithms, Algorithmic Discrimination, and Autonomous Vehicles with Caleb Watney: Algorithms, Algorithmic Discrimination, and Autonomous Vehicles with Caleb Watney Today's guest is Caleb Watney of the R Street Institute. In our conversation, we discuss algorithms, particularly with respect to their role in judicial decision making.... by Economics Detective Radio
49 min listen
Ubisoft’s Yves Jacquier on How Generative Will Revolutionize Gaming: Tools like ChatGPT have awakened the world to the… by The AI Podcast
35 min listen
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR). by Machine Learning Street Talk (MLST)
96 min listen
Managing an API as a Product with Deepa Goyal: Not long ago, only programmers cared about APIs. … by The InfoQ Podcast
33 min listen
#1 Data Science, Past, Present and Future: Hilary Mason talks about the past, present, and future of data science with Hugo. Hilary is the VP of Research at Cloudera Fast Forward, a machine intelligence research company, and the data scientist in residence at Accel. If you want to hear about wh... by DataFramed
60 min listen
Leveling Up Natural Language Processing with Transfer Learning: An interview with Paul Azunre about how you can use transfer learning techniques to build more flexible natural language processing systems and reduce the requirements for labelled data. by The Python Podcast.__init__
47 min listen
Site Reliability Engineering with Paul Newson: Paul Newson is back to the podcast to tell us about his experience as an SRE, or Site Reliability Engineer. They keep Google and Google Cloud running and he explains to us how they make that happen. by Google Cloud Platform Podcast
36 min listen
Turning Data Strategy into AI ROI - with TJ Shembekar of IBM: Today’s guest is TJ Shembekar, Director of IT for IBM Global Financing. TJ has been with IBM for over 15 years and has gone through the entire journey of bringing AI to life in the Financing wing of IBM, from aggregating data sources to... by The AI in Business Podcast
41 min listen
Contract Analytics in Action - with Daniele Cordioli of Expert AI: Today’s guest is Daniele Cordioli, Head of Solutions Consulting for EMEA at Expert.ai. In this episode, Daniele discusses what contract analytics means and the concrete use-cases we can get from it. There are two big transferable lessons that... by The AI in Business Podcast
32 min listen
#167 - On Artificial Intelligence and Corporate Learning and Development: with Henrietta Palmer, Learning Solutions, TUI Group by The Edtech Podcast
51 min listen
The Future of Anti-Money Laundering and Fraud Detection in Banking - with Bob Gaines of SambaNova: Today’s guest is Bob Gaines, Managing Director of Business Development at SambaNova Systems, a firm based in the Bay Area that has raised $1B to date. Bob has worked in financial services and technology with companies like IBM, Cray Supercomputing,... by The AI in Business Podcast
30 min listen
047 Interpretable Machine Learning - Christoph Molnar by Machine Learning Street Talk (MLST)
100 min listen
[DataFramed Careers Series #4]: Acing the Data Science Interview by DataFramed
39 min listen
TensorFlow with Andrew Selle: Rob and Jason are joined by Andrew Selle from Google. They first discuss Ranges support being added to Visual Studio, and Compiler Explorer's support for using some libraries. Then they talk to Andrew Selle from Google about Machine Learning with... by CppCast
52 min listen
#58 Critical Thinking in Data Science by DataFramed
59 min listen
Building A Knowledge Graph From Public Data At Enigma With Chris Groskopf - Episode 50: The Data Engineering Behind A Real-World Knowledge Graph (Interview) by Data Engineering Podcast
53 min listen
Scale Your Spatial Analysis By Building It In SQL With Syntax Extensions: An interview with Matthew Forrest about using SQL to build your spatial analysis workflows so that they are more maintainable and uniform by Data Engineering Podcast
60 min listen
Measuring Your Python Learning Progress by The Real Python Podcast
56 min listen
Serverless DevOps: How to Scale a Serverless First Initiative: Serverless DevOps: How to Scale a Serverless First Initiative by vBrownBag
52 min listen
008 Math: Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources by Machine Learning Guide
27 min listen
018 Natural Language Processing 1: Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources by Machine Learning Guide
58 min listen
Open Source TensorFlow with Yifei Feng: Yifei Feng, a TensorFlow software engineer, shares with Melanie and Mark about her work on the open source TensorFlow project and the tools she builds. by Google Cloud Platform Podcast
26 min listen
Peter Jones and Kristel van Ael, "Design Journeys Through Complex Systems" (Bis Publishers, 2022): An interview with Peter Jones and Kristel van Ael by New Books in Science, Technology, and Society
63 min listen
#66 The Path to Building Data Cultures by DataFramed
31 min listen
Data Visualization and D3.js with Irene Ros: Scott talks to Data Visualization expert Irene Ros. When she isn't contributing to the Miso Project, teaching her d3.js class, or working on making OpenVis Conf the best data visualization conference it can be, she's working on projects that focus on creating engaging interactive visual displays of information. by Hanselminutes with Scott Hanselman
34 min listen

Discover this podcast and so much more

Visualization and Interpretability

Visualization and Interpretability

Description

Titles in the series (100)

More Episodes from Data Skeptic

Related podcast episodes