[MINI] MapReduce

FromData Skeptic

Start listening View podcast show

[MINI] MapReduce

FromData Skeptic

ratings:

Length:

13 minutes

Released:

Jul 10, 2015

Format:

Podcast episode

Description

This mini-episode is a high level explanation of the basic idea behind MapReduce, which is a fundamental concept in big data. The origin of the idea comes from a Google paper titled MapReduce: Simplified Data Processing on Large Clusters. This episode makes an analogy to tabulating paper voting ballets as a means of helping to explain how and why MapReduce is an important concept.

Released:

Jul 10, 2015

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
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
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
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] 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] The T-Test: The t-test is this week's mini-episode topic. The t-test is a statistical testing procedure used to determine if the mean of two datasets differs by a statistically significant amount. We discuss how a wine manufacturer might apply a t-test to... by Data Skeptic
17 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] 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
Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus: Economist Peter Backus joins me in this episode to discuss a few interesting topics. You may recall Linhda and I previously discussed his paper "The Girlfriend Equation" on a recent mini-episode. We start by touching base on this fun paper and get a... by Data Skeptic
24 min listen
[MINI] Noise!!: Our topic for this week is "noise" as in signal vs. noise. This is not a signal processing discussions, but rather a brief introduction to how the work noise is used to describe how much information in a dataset is useless (as opposed to... by Data Skeptic
16 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
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
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
[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] 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
[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
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
[MINI] Selection Bias: A discussion about conducting US presidential election polls helps frame a converation about selection bias. by Data Skeptic
15 min listen
Practicing and Communicating Data Science with Jeff Stanton: Jeff Stanton joins me in this episode to discuss his book An Introduction to Data Science, and some of the unique challenges and issues faced by someone doing applied data science. A challenge to any data scientist is making sure they have a... by Data Skeptic
37 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
Easily Fooling Deep Neural Networks: My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen, Jason Yosinski, and Jeff Clune. It... by Data Skeptic
28 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
[MINI] k-means clustering: The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be... by Data Skeptic
14 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
Contest Announcement: The Data Skeptic Podcast is launching a contest- not one of chance, but one of skill. Listeners are encouraged to put their data science skills to good use, or if all else fails, guess! The contest works as follows. Below is some data about the... by Data Skeptic
12 min listen
[MINI] Data Provenance: This episode introduces a high level discussion on the topic of Data Provenance, with more MINI episodes to follow to get into specific topics. Thanks to listener Sara L who wrote in to point out the Data Skeptic Podcast has focused alot... by Data Skeptic
11 min listen
Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,... by Data Skeptic
50 min listen
$Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,...$
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
Doubtful News, Geology, Investigating Paranormal Groups, and Thinking Scientifically with Sharon Hill: I had the change to speak with well known Sharon Hill (@idoubtit) for the first episode of 2015. We discuss a number of interesting topics including the contributions Doubtful News makes to getting scientific and skeptical... by Data Skeptic
31 min listen

More Episodes from Data Skeptic

Skip carousel

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
LLMs in Social Science: Today, We are joined by Petter Törnberg, an Assistant Professor in Computational Social Science at the University of Amsterdam and a Senior Researcher at the University of Neuchatel. His research is centered on the intersection of computational... by Data Skeptic
34 min listen

Related podcast episodes

Skip carousel

1174: Pepperdata - Removing the Blindfold to Control Cloud Spend: Ash Munshi, CEO of Pepperdata joins me on Tech Talks Daily to discuss the importance of removing the blindfold to control cloud spend. by The Tech Talks Daily Podcast
22 min listen
[MINI] Parallel Algorithms: When computers became commodity hardware and storage became incredibly cheap, we entered the era of so-call "big" data. Most definitions of big data will include something about not being able to process all the data on a single machine. Distributed... by Data Skeptic
21 min listen
Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44: DGraph: A Fast, Distributed, Transactional Graph Database Built For Scale (Interview) by Data Engineering Podcast
43 min listen
Data Science with Grace Huang: What is Data Science? What is the difference between Data Science and Machine Learning? In this episode, Grace Huang, Data Science Manager at Pinterest answers these questions. We talked about complex data sets and building a recommendation system at Pinterest. Grace explained the core algorithms used in a recommendation system and the role of embeddings on this. by The Women in Tech Show: A Technical Podcast
20 min listen
AI Today Podcast: AI Glossary Series – Hadoop, MapReduce: Hadoop and MapReduce changed the world of big data. And data is the heart of AI, so it should come as no surprise that talk about big data in the context of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the t... by AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
16 min listen
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182: In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. A few months ago, Naveed gave a talk at the Google Cloud Next Conference on “How Publishers Can Take Advantage of... by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
40 min listen
Interactive Exploratory Data Analysis On Petabyte Scale Data Sets With Arkouda: An interview with David Bader about the Arkouda framework for exploratory data analysis at interactive speeds across massive data sets and how it supports operating from a single laptop to multiple servers in the cloud or thousands of cores on a supercomputer by Data Engineering Podcast
41 min listen
Ahmed Elsamadisi, Narrator CEO, is a roboticist by training and one of the first engineers at WeWork. Now he's changing how the world tells stories with data. by AI and the Future of Work
52 min listen
34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why. by Towards Data Science
45 min listen
Hub Ocean: This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data. Hub Ocean - as the name suggests is a hub for ocean data Now we have talked about these kinds of data hubs before on the podcast -... by The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
39 min listen
Bringing The Metrics Layer To The Masses With Transform: An interview with Nick Handel about the benefits of a unified metrics layer for improving the confidence of your analytics and his work at Transform to make it accessible to everyone. by Data Engineering Podcast
61 min listen
A Practical Introduction To Graph Data Applications - Episode 144: An interview with the authors of the Practitioner's Guide To Graph Data about how, when, and why to use graph data algorithms and data structures. by Data Engineering Podcast
61 min listen
Simplifying Data Integration Through Eventual Connectivity - Episode 91: An interview about a new pattern for data integration that reduces the amount of effort required to find connections in numerous data sets by Data Engineering Podcast
54 min listen
Distributing Geospatial Data: Distributing Geospatial Data - Every wondered why you might what to do this? Or maybe you understand the why but are unsure about the how? Perhaps you have heard people talk about partitioning data or sharding data, you might have heard some of thes... by The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
51 min listen
Overture Maps And The Daylight Distribution: In this podcast episode, Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation, a downstream product of OpenStreetMap. He explains his background in open map data and his interest in studying collaboration within the... by The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
52 min listen
Unleash The Power Of Dataframes At Any Scale With Modin: An interview with Devin Petersohn about his work on Modin to make scaling Pandas workflows effortless from a single laptop to an entire datacenter. by The Python Podcast.__init__
39 min listen
Enabling Version Controlled Data Collaboration With TerminusDB: An interview about the TerminusDB platform and how it supports data collaboration through a version controlled graph storage engine. by Data Engineering Podcast
58 min listen
Snorkel: Extracting Value From Dark Data with Alex Ratner - Episode 15: Snorkel: Extracting Value From Dark Data With Python (Interview) by Data Engineering Podcast
37 min listen
Dask with Matthew Rocklin - Episode 2 by Data Engineering Podcast
46 min listen
S09E21- GraphQL, Microservices, Bridging the Programming Lanauge Gap, and Client App Consumption with Roy Derks: In this episode Tracy Lee and Dustin Goodman are joined by Roy Derks- Developer Experience at StepZen ⸱ Tech Entrepreneur ⸱ GraphQL Speaker, Trainer, and Advocate- to discuss microservice design and how GraphQL can help alleviate problems derived fro... by Modern Web
26 min listen
89: The viability of warehouse-native martech: Insights from 10 industry experts by Humans of Martech
60 min listen
Episode 40: Digitizing the World: In Episode 27: Evidence of Abundance, Peter and Dan discussed the 6 D’s framework and how this model is a road map to contextualize exponential technologies. In this episode, they dig deeper into the first step, Digitization, by Exponential Wisdom
24 min listen
Greg Yang on Communicating Research, Tensor Programs, and µTransfer by The Gradient: Perspectives on AI
66 min listen
The overlap between Business Intelligence tools and GIS software: Episode #54 - This week on the podcast Kent Marten from Tableau explains the cross over between business intelligence tools and traditional GIS software. We also explore the challenges around self serve mapping and answer the question "Is location still ... by The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
32 min listen
Fixing Dirty Data – Susan Walsh is The Classification Guru by The Procurement Software Podcast
30 min listen
#62 From Predictions to Decisions by DataFramed
52 min listen
2730: Unveiling the Green Data Blind Spot With NetApp: Today, we're delving into a topic quietly shaping the environmental discourse in the tech world – the ecological impact of data storage. Matt Watts, the Chief Technology Evangelist at NetApp, joins me and brings a wealth of knowledge and experience... by The Tech Talks Daily Podcast
24 min listen
Graph of Thoughts: Solving Elaborate Problems with Large Language Models: We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT). The key idea and primary advantage of GoT is ... by Papers Read on AI
49 min listen
How to pick projects for a professional data science team: This week's episodes is for data scientists, sure… by Linear Digressions
31 min listen
Building A Data Mesh Platform At PayPal: There has been a lot of discussion about the practical application of data mesh and how to implement it in an organization. Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. In this episode he shares that journey and the combination of technical and organizational challenges that he encountered in the process. by Data Engineering Podcast
47 min listen

Discover this podcast and so much more

[MINI] MapReduce

[MINI] MapReduce

Description

Titles in the series (100)

More Episodes from Data Skeptic

Related podcast episodes