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<title>Data Crunch</title>
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<description>If you want to learn how data science, artificial intelligence, machine learning, and deep learning are being used to change our world for the better, you’ve subscribed to the right podcast. We talk to entrepreneurs and experts about their experiences employing new technology—their approach, their successes, their failures, and the outcomes of their work. We make these difficult concepts accessible to a wide audience.</description>
<pubDate>Sat, 25 Apr 2026 08:37:44 +0000</pubDate>
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<title>Implementing ML Algorithms with Ylan Kazi</title>
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<pubDate>Tue, 01 Dec 2020 02:33:55 +0000</pubDate>
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<title>Hiring Top Tech Talent</title>
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<pubDate>Sat, 31 Oct 2020 17:27:43 +0000</pubDate>
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<title>Making Data Assets Profitable with VDC</title>
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<description>Many companies are sitting on data assets that could be revenue streams for them, without knowing it. Matt Staudt of VDC discusses making latent data profitable.Ginette: I'm Ginette, Curtis: and I'm Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data Crunch is produced by the Data Crunch Corporation, an analytics, training, and consulting company. Ginette: Today, we chat with the president and CEO at the Venture Development Center, Matt Staudt. Matt Staudt: The company that I'm with is VDC, Venture Development Center. Basically VDC is an organization that works in the alternative big data, bringing buyer and seller together. So we have a unique perspective on available data assets that are out in the marketplace and a unique perspective of the companies that utilize them, and what they're specifically looking for in the way of points of, uh, value for various data assets. My...</description>
<pubDate>Wed, 30 Sep 2020 15:55:18 +0000</pubDate>
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<title>Education and AI</title>
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<description>For David Guralnick, education, AI, and cognitive psychology have always held possibility. With many years of experience in this niche, David runs a company that designs education programs, which employ AI and machine learning, for large companies, universities, and everything in between.  David Guralnick: Somehow what's happened in a lot of the uses of technology and education to this point is we've taken the mass education system that was there only to solve a scalability problem, not because it was the best educational method. So we've taken that and now we've scaled that even further online because it's easy to do and easy to track. Ginette Methot: I’m Ginette, Curtis Seare: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data Crunch is produced by the Data Crunch Corporation, an analytics training and consulting company. Curtis: First off, I'd like to ...</description>
<pubDate>Fri, 24 Apr 2020 00:51:37 +0000</pubDate>
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<title>Upskilling from Home</title>
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<pubDate>Wed, 01 Apr 2020 01:49:16 +0000</pubDate>
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<title>Using Data to Design Tests People Don’t Hate</title>
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<description>David Saben is on a mission to make taking tests less painful, and he’s using data to do it. In this episode, he’ll discuss reviving methods developed in 1979 to shorten tests and make them more effective, as well as how to use psychometrics to aid in the design and crafting of an effective test.David Saben: When I see my son who's 11 years old, spending three days and testing when I know there's absolutely no reason for it that you can do that in an hour. Ginette Methot: I'm GinetteCurtis Seare: And I'm CurtisGinette: And you are listening to Data CrunchCurtis: A podcast about how applied data science, machine learning and artificial intelligence are changing the world.The father of lean startup methodology once said “There are no facts inside the building so get the heck outside.”The education industry is no different. Sometimes the facts that’ll make your machine learning career are waiting just outside your office. Read more at mode.com/mledum o d e dot com slash M L e d uGinette: Today we chat...</description>
<pubDate>Wed, 04 Sep 2019 03:00:08 +0000</pubDate>
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<title>Running a Successful Machine Learning Startup</title>
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<description>Today, our guest, Alain Briancon, will talk to us about how to work with Fortune 500 companies and help them get quick value from their data, how to build a roadmap of incremental value during the data collection and analysis process, how they help predict and incentivize customer purchases, and how to dial in on an idea for successful data science software companies.Alain Briancon: Adding one more question to answer is always easy. The difficult part is what question can I remove and still providing insight.Ginette Methot: I'm Ginette Curtis Seare: And I'm Curtis Ginette: And you are listening to Data Crunch Curtis: A podcast about how applied data science, machine learning and artificial intelligence are changing the world. Ginette: If you’re a fortune 1000 company, and your team needs to be trained in Tableau, Statistics, Data Storytelling, or how to solve business problems with data, we’ll fly one of our expert trainers out to your site for a private group training. The most important investment a bus...</description>
<pubDate>Sat, 10 Aug 2019 01:34:47 +0000</pubDate>
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<title>Digital Credentials and Machine Learning Aim to Change How You Hire</title>
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<description>Today we’re going to see how a clever idea and the skillful use of data is starting to disrupt how people get credentials. The use case here has the potential to remove gender and racial bias in the hiring process, help companies understand specific talent gaps in their workforce, and help learners find lucrative educational pathways they can take.</description>
<pubDate>Fri, 12 Jul 2019 03:15:49 +0000</pubDate>
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<title>Automated Machine Learning with TransmogrifAI</title>
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<description>Would you rather take a year to develop a proprietary algorithm for your company that has an accuracy of 95% or use an open source platform that takes a day to develop an algorithm that has nearly the same accuracy? In most business cases, you'd choose the latter. In this episode, we talk to Till Bergmann who works on a team that developed TransmogriAI, an open source project that helps you build models quickly.</description>
<pubDate>Thu, 31 Jan 2019 05:02:19 +0000</pubDate>
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<title>Cutting-Edge Computational Chemistry Enabled by Deep Learning</title>
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<description>Machine learning is becoming a bigger part of chemistry as of the last two or three years. Industries need to have people trained in both fields, and it's taken time for them to make their way into this sector. Olexandr Isayev is at the forefront of that wave, and he talks to us about what he's done while melding deep learning and chemistry together and his vision of where he sees this field going with this new tech.</description>
<pubDate>Tue, 27 Nov 2018 05:07:17 +0000</pubDate>
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