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Overcoming Cultural Hurdles in Tech
As the first Mexican woman to get a PhD from Stanford, Debbie Berebichez has experienced what it takes to challenge norms and boundaries. She speaks about her personal experience overcoming cultural norms regarding women in STEM and her professional experience training company culture in data science. Debbie Berebichez: It’s very important to encourage people to be evidence based. To see,Listen
Traffic Equilibrium and a PhD
Matthew Battifarano has always been interested in mobility and transportation. He talks to his intrigue with traffic equilibrium, which includes autonomous vehicles, ride hailing, bike sharing, etc.; what shaped it; and what lead him to his PhD at the Mobility Data Analytics Center at Carnegie Mellon University. Matthew Battifarano: This is something I’d never heard of before, before I started inListen
Machine Learning and Flight with Ian Cassidy
Ian Cassidy: When you did a PCA, a principal component analysis, like, it was like beautiful. There was, like, a red circle in the middle of, you know, the blue on purchase, you know, data points. And there were the red purchase ones and they were all clustered together. It was, it was really interesting. And like the, the machine learningListen
Implementing ML Algorithms with Ylan Kazi
Does it feel like your stakeholders aren’t open to adopting your team’s algorithms? Ylan Kazi shares his experience on how to conquer this type of problem. Ylan Kazi: And that is very important. But I think what we find, especially in larger organizations and in trying to implement these things across an enterprise, is that the relationships and the communication are reallyListen
Hiring Top Tech Talent
Hiring top tech talent is hard, especially when these people are in high demand. So how can you build your tech team? HR and hiring experts Laura and Theo talk about their process. Laura Ianuly: I think the most important thing, the best advice I could give a hiring manager is making sure that they understand what they’re looking for. They’veListen
Making Data Assets Profitable with VDC
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 theListen
Machine Learning with Max Sklar
What does it look like to shape a social media platform? Max Sklar can speak to that having worked on machine learning at one for nearly its entire existence. In today’s episode, he talks about what’s worked and what hasn’t at Foursquare. Max Sklar: So Foursquare’s a very positive platform, but the Japanese language is off the charts. You have 97%Listen
Think Differently with Graph Databases
Curious about graph databases? Matthias Broecheler from DataStax talks with us about looking at the world through a graph lens and using it to solve real world problems. 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 producedListen
Data, Epidemiology, and Public Health
With recent events being what they are, epidemiology has come into the spotlight. What do epidemiologists do and how does data shape their everyday experience? Sitara and Mee-a from “Donuts and Data” fill us in. 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 intelligenceListen
Vast ETL Efficiency Gain with Upsolver
Ori Rafael knows the pain of trying to query data from enterprise data lakes for analysis. It’s slow time to value when you can only get access to the data after having to engage the engineering team and have them spend cycles pulling something together for you. That’s why he and his cofounder started Upsolver. It makes data immediately accessibleListen