Isaac Slavitt is the co-founder of DrivenData, a platform for organizations to solicit help from data scientists to solve real-world problems. DrivenData does this by running "competitions" which asks teams to comb through data sets to solve problems for cash rewards.
One such competition was Zamba. Researchers set up cameras in African forests and asked engineering experts to develop AI software which could classify the types of animals which were captured. This would then help with research and conversation efforts without disturbing the natural ecosystem. Another such competition is DengAI, which seeks ML techniques to try and predict future outbreaks of dengue fever.
Isaac concludes the interview by talking about DrivenData's tech stack. He discusses the uses of both R and Python in the data scientist community. He notes that many computationally intensive task, such as ML classification and testing, are able to be offloaded to a service like Paperspace, while the majority of their platform runs on Heroku.
Links from this episode118. Why Writing Matters for Engineers
117. Open Source with Jim Jagielski
116. Success From Anywhere
115. Demystifying the User Experience with Performance Monitoring
114. Beyond Root Cause Analysis in Complex Systems
113. Principles of Pragmatic Engineering
112. Managing Public Key Infrastructure within an Enterprise
111. Gift Cards for Small Businesses
110. Scaling a Bernie Meme
109. Meditation for the Curious Skeptic
108. Building Community with the Wicked CoolKit
I Was There: Stories of Production Incidents II
107. How to Write Seriously Good Software
106. Growing a Self-Funded Company
105. Event Sourcing and CQRS
104. The Evolution of Service Meshes
103. Chaos Engineering
102. Whether or Not to Repeat Yourself: DRY, DAMP, or WET
101. Cloud Native Applications
100. Math for Programmers
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