Scaling Machine Learning to Modern Demands

This is a Data Science Popup session by Hristo Spassimirov Paskov, Founder & CEO of ThinkFast.   Summary Machine learning has revolutionized the technological landscape and its success has inspired the collection of vast amounts of data aimed at answering ever deeper questions and solving increasingly harder problems. Continuing this success critically relies on the […]

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Data Scientists are Analysts are Software Engineers

In this Data Science Popup session, W. Whipple Neely, Director of Data Science at Electronic Arts, explains why data scientists have responsibilities beyond just data science.   Video Transcript I wanted to talk to you a little bit about something that I’m surprised to find is apparently so current for everyone, which is this engineering/data […]

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Announcing: Data Science Pop-up San Francisco

We’re excited to announce Data Science Pop-up San Francisco, the 6th event in our Data Pop-up Series. The day-long forum will be held in downtown San Francisco at Galvanize on February 22, 2017 and will focus on data science applications in SaaS, technology, and insurance. Register here to take advantage of discounted pricing. This event is for data science leaders […]

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How Atlassian Uses Data Science to Improve Collaboration

Christy Bergman, Data Scientist at Atlassian, gives an inside look at how they use data science to improve user onboarding and collaboration. This talk was recorded at a Data Science Popup event. Video Transcript I ended up making my talk about my own experience as a data scientist at Atlassian. So the structure is: a little […]

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AI in the Enterprise: Making Corporations Smart Again

In this Data Science Popup session, Danny Lange, VP of AI and Machine Learning at Unity Technologies, gives an inside look at practical applications and challenges of AI in enterprises such as Unity, Netflix, Uber, and elsewhere.   Video Transcript I’m Danny, and I’m going to have a little talk about making corporations smart again. […]

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Building a Model is the Least Important Part of Your Job

In this Data Science Popup session, Kimberly Shenk, Director of Data Science Solutions at Domino Data Lab, explains why building models is the least important part of data scientists’ jobs, and what they must focus on instead.   Video Transcript Hello everyone. My name is Kimberly Shenk. I actually lead product at Domino Data Lab, […]

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Practical Data Science at Gusto and General Assembly

In this Data Science Popup panel led by Michael Manapat, Product and Machine Learning at Stripe, we learn about practical applications of data science at Gusto, and instruction of practical data science at General Assembly. The panel members are Daniel Sternberg, Data Science and Engineering Lead at Gusto, and Kiefer Katovich, Department Chair for Data […]

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Data Science at Instacart: Making On-Demand Profitable

In this Data Science Popup session, Jeremy Stanley, VP of Data Science at Instacart, gives an inside look at how Instacart uses data science to maximize profits. Video Transcript Hey, everybody. I’m Jeremy Stanley. I am the head of data science at Instacart. I’m going to talk here today about some of the ways that we’re […]

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