Amazon Machine Learning with Kesha Williams

Amazon Machine Learning with Kesha Williams

Author: Carl Franklin and Richard Campbell February 13, 2018 Duration: 53:52
How is machine learning different over in the land of Amazon? While at NDC in London, Carl and Richard talked to Kesha Williams about her work building machine learning solutions using various Amazon technologies. The conversation starts out talking about the challenges around bias being amplified by machine learning technology - there are no simple solutions. Kesha talks about building a crime risk evaluation system using image recognition and machine learning. Just a prototype, but it opens the door to a deep conversation about the moral obligations on developers today. And the tech is cool too!

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Hosted by Carl Franklin and Richard Campbell, .NET Rocks! is a long-running conversation with the people building the future of software. This isn't a dry lecture; it's a lively, technical deep dive where two seasoned developers explore the vast ecosystem around Microsoft .NET, Azure, and modern development practices with a diverse roster of expert guests. Each episode feels like you're pulling up a chair in a room full of brilliant minds, listening to unfiltered discussions about real-world coding challenges, architectural patterns, and the tools that shape our daily work. You'll hear practical advice, war stories from the trenches, and forward-looking insights that go far beyond the documentation. Tuning into this podcast means connecting with a community of professionals who are as passionate about the craft as you are, offering perspectives that can transform how you approach your next project. Whether you're deep into C# or just curious about cloud-native development, these conversations provide a valuable blend of knowledge, humor, and genuine enthusiasm for technology.
Author: Language: English Episodes: 1000

.NET Rocks!
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