Machine Learning in 2020 with Zoiner Tejada

Machine Learning in 2020 with Zoiner Tejada

Author: Carl Franklin and Richard Campbell September 16, 2020 Duration: 1:00:14
Machine Learning has been around for years, what does it look like today? Carl and Richard chat with Zoiner Tejada about how he approaches machine learning today, starting with a focus on data. The bulk of the work for using machine learning is focused on sources, quality and bias in data. Zoiner talks about using data lakes to organize data simply, and be able to filter it for processing quickly. Often, it makes sense to duplicate data for processing efficiency! The conversation then dives into the role of algorithms, training and testing, and what it means to be a data scientist.

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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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