This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field.
Note: Opinions expressed are my own and do not express the views or opinions of my employer.
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This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field.
Note: Opinions expressed are my own and do not express the views or opinions of my employer.
19: Statistics and Data Science- An Interview with Patrick McClory
The Data Life Podcast
56 minutes 20 seconds
6 years ago
19: Statistics and Data Science- An Interview with Patrick McClory
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 ~
The Data Life Podcast
This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field.
Note: Opinions expressed are my own and do not express the views or opinions of my employer.
