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19: Statistics and Data Science- An Interview with Patrick McClory

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Manage episode 246817939 series 2550866
Content provided by Sanket Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanket Gupta 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 podcast episode, we do an interview! We talk with Patrick McClory, who is the founder and CEO of IntrospectData. He is an expert working in areas of data science consulting, large machine learning projects, math, statistics and more. In this episode we cover several interesting topics such as: 1) What makes a good data scientist? 2) The different roles in the industry such as data engineer, machine learning engineer, data analyst etc. 3) The first mile problem: Data ownership and ethics of data collection. Patrick can be reached at patrick@introspectdata.com and you can read more about IntrospectData's projects at https://introspectdata.com/ Some books discussed in the episode: 1. The Field Guide to Understanding Human Error 2. Information Theory: A Tutorial Introduction If you enjoyed this episode or have any feedback drop me a note at thedatalifepodcast@gmail.com ~ Thanks for listening ~ --- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
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27 episodes

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Manage episode 246817939 series 2550866
Content provided by Sanket Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanket Gupta 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 podcast episode, we do an interview! We talk with Patrick McClory, who is the founder and CEO of IntrospectData. He is an expert working in areas of data science consulting, large machine learning projects, math, statistics and more. In this episode we cover several interesting topics such as: 1) What makes a good data scientist? 2) The different roles in the industry such as data engineer, machine learning engineer, data analyst etc. 3) The first mile problem: Data ownership and ethics of data collection. Patrick can be reached at patrick@introspectdata.com and you can read more about IntrospectData's projects at https://introspectdata.com/ Some books discussed in the episode: 1. The Field Guide to Understanding Human Error 2. Information Theory: A Tutorial Introduction If you enjoyed this episode or have any feedback drop me a note at thedatalifepodcast@gmail.com ~ Thanks for listening ~ --- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
  continue reading

27 episodes

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