Sinopsis
Explore data science, analytics, big data, machine learning as we discuss these topics
Episodios
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The Art of Digital War: Enter the Blockchain
30/07/2019 Duración: 55minWould you give up Control for Convenience? Blockchain will protect you. Vikal Kapoor joins us on this conversation. Vikal is an experienced entrepreneur whose latest venture as CEO of Dapps is solving customer experience problems using Blockchain technology. Specifically, they are building customer relationship management (CRM) software on top of an Enterprise Blockchain computing platform. Read More ...
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Democratize your data. Do this first to get real results…. (w/ Leigha Jarett)
15/07/2019 Duración: 43minYour company wants to catch up with the buzz of data science, machine learning, or artificial intelligence. What do you do first? Hire a PhD in Physics to build artificial intelligence algorithms? Hire a team of consultants? Leigha Jarett join us to give us her view. As an employee of Looker, she’s had this conversation Read More ...
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How do I become a serial tech entrepreneur? (with Elissa Shevinsky @ElissaBeth)
01/07/2019 Duración: 49minElissa Shevinsky, CEO of Faster Than Light, gives us some insight about entrepreneurship in technology. As a successful entrepreneur, she’s seen a few things and has gained much knowledge on entrepreneurship which she shares on this episode. Join us as she walks us through the journey of starting multiple technology companies.
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Give us 1 star.
17/06/2019 Duración: 31minAntonio and Jordy talk about the company in California that’s so fed up with Yelp that they have requested 1 star reviews – they’ve almost made it mandatory given that they give 50% off their otherwise very expensive pizza pies. Their conversation then devolves into other tangents.
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What’s a p-value and can you trust it?
10/06/2019 Duración: 43minThe notes below are inside look on how we structured this week’s episode … If your p-value is higher than .05, you can’t publish research. Antonio: What is a p-value? Jordy: The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H0) of Read More ...
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Climate Change – how can we use data?
03/06/2019 Duración: 39minTwo days after recording this, we saw the article ‘Trump Administration Hardens Its Attack on Climate Science’ – https://www.nytimes.com/2019/05/27/us/politics/trump-climate-science.html Climate Change is a topic that requires arguments based on data not rhetoric. Science not politics. Facts not opinions. During our conversation, we referenced the following: https://www.news.gatech.edu/2018/01/17/using-data-mining-make-sense-climate-change https://nas-sites.org/americasclimatechoices https://en.m.wikipedia.org/wiki/Paris_Agreement
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Starting a Podcast – DSI Guide
20/05/2019 Duración: 38minHere’s our simple, straightforward guide to starting a podcast. Yes, you can do it. For our hardcore data science listeners, we’ll be back next week.
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How does New York City use data?
13/05/2019 Duración: 46minDr. Alaa Moussawi joins us to talk about how the NYC Council is leveraging data and how this data is helping New Yorkers along the way. NYC makes their data available so you too can explore it and answer the questions that you care about – https://opendata.cityofnewyork.us/ To learn more about Alaa’s Data Science Team, Read More ...
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Predicting crimes without bias and prejudice – is it possible?
06/05/2019 Duración: 40minPredictive policing companies have received some unwanted attention. Police departments are minimizing their use, if not eliminating these programs altogether. Predictive policing aims at leveraging more data when determining crime areas, identifying perpetrators, and allocating resources. What do you think? Tell us on Twitter @dsimposters or email us at jordy@datascienceimposters.com
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DSI Week in Data Science-y News with Miguel Garcia
29/04/2019 Duración: 55minOur friend, Miguel Garcia, pops in on this episode. We always love having Miguel on the show. This is especially true today when we get his take on the latest news events we are covering in this episode. While we have Miguel on he talks to us about his role as a Senior Solutions Engineer Read More ...
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Interview with Kenneth Reitz
22/04/2019 Duración: 45minOur agenda with Kenneth was to have an honest, unscripted conversation and we succeeded. If you’ve never heard of Kenneth, you may have heard of the several Python tools that he has helped to authored requests and pipenv. (According to https://pypi.org/project/requests/2.9.1/, Requests gets 43 million downloads per month.) Or you’ve read his book Hitch Hiker’s Read More ...
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Containers & Japan with Brian de Heus
15/04/2019 Duración: 52minBrian de Heus is the Chief Technology Officer at Adgorithmics in Tokyo, Japan. We leveraged social media to reach out to him and ask him to join our show remotely. The first challenge was getting over the 14 hour time difference. The second hurdle was making sure that we stayed on topic since Antonio has Read More ...
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Economists do Data Science Differently w/ Dr. Peter Lorentzen
08/04/2019 Duración: 49minIf all you know about economics is ‘supply and demand’, you may be in for a good awakening with our next interviewee. Dr. Peter Lorentzen is professor in the Economics Department at the University of San Francisco and he is starting a new graduate program in Applied Economics. With the recent teams of Economists that Read More ...
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Software Bugs will eat the world
01/04/2019 Duración: 55minIn 2011, Marc Andreessen wrote a fantastic article Why Software Is Eating The World. This motivated our title for this podcast. In this podcast we talk about software bugs that have fatal consequences, major financial, and explore why these bugs happen so frequently. Which software are you worried about in your life? Your car? Your Read More ...
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GDPR, huh, what is it good for? Absolutely something?
25/03/2019 Duración: 41minIf you’re outside of the EU, you may not know about GDPR. In this episode, we invite our friend Maria to discuss the General Data Protection Regulation. We discuss the What? Who? When? Where? We also talk about the business impact of these rules, what it means to implement them, and what is still to Read More ...
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Natural Language Processing with Prem Ganeshkumar
11/03/2019 Duración: 53minHow do you make a computer program understand a language, a natural language, like English? Can we create a program that can create sentences, paragraphs, articles, or stories? In this episode, we explore the basics of Natural Language Processing from Prem Ganeshkumar who is a Lead Natural Language Processing Research Engineer at Agolo in New Read More ...
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Fight or Flight?
04/03/2019 Duración: 38minAt Antonio’s latest visit to the Motor Vehicle Commission, he finds out two things. First, sometimes it’s hard to change data once a mistaken occurs. Second, he will take flight before a fight. We then talk about Amazon and the second headquarter that never was. Apparently, Amazon feels like Antonio – they also took flight. Read More ...
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An interview with Dr. Noemi Derzsy
19/02/2019 Duración: 42minDr. Noemi Derzsy is currently a Senior Inventive Scientist at AT&T Labs within the Data Science and AI Research organization. In addition to getting to know what her position entailed, we wanted to know how she got there (especially given her Physics background), how she thought about the data science discipline, and where she saw Read More ...
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Ep. 49 – Interview with Dr. Haftan Eckholdt – Chief Data Officer & Chief Science Officer at Understood.org
01/02/2019 Duración: 47minIn this episode, we interview Dr. Haftan Eckholdt – Chief Data Officer & Chief Science Officer at Understood.org. Understand’s goal is to help the millions of parents whose children, ages 3–20, are struggling with learning and attention issues. Haftan takes us through his journey from rigging computers for distributed computing to generating models associated to Read More ...
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Cheap Noodles, Beers, and Bayesian Econometrics with Jim Savage
17/01/2019 Duración: 01h15minJim Savage is the Head of Data Science at @lendableinc He joins us on the show to take us to school about statistics, his company, the work he’s been doing, and cheap noodles. Jordy and Antonio have Jim make sense of this blog post for them: https://khakieconomics.github.io/2017/01/01/Building-useful-models-for-industry.html Along the way, we learn how Jim’s life Read More ...