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Data in Machine Learning and AI, Understanding the role, Hosted by Michael Burke and Chris Detzel

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Manage episode 357022523 series 3451197
Content provided by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Michael Burke and Chris Detzel discuss the role of data in machine learning and AI. They define machine learning as the process of identifying patterns in data to create value and AI as a computer's ability to make decisions on its own. They also explain that data science is the larger sphere that encompasses both of these fields. They then go on to discuss the role of data in machine learning and how it helps organizations make better decisions. Finally, they use the analogy of driving a car to explain the importance of data in machine learning.

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 357022523 series 3451197
Content provided by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Michael Burke and Chris Detzel discuss the role of data in machine learning and AI. They define machine learning as the process of identifying patterns in data to create value and AI as a computer's ability to make decisions on its own. They also explain that data science is the larger sphere that encompasses both of these fields. They then go on to discuss the role of data in machine learning and how it helps organizations make better decisions. Finally, they use the analogy of driving a car to explain the importance of data in machine learning.

  continue reading

42 episodes

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