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591: Simulations and Synthetic Data for Machine Learning

Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more!In this episode you will learn:• What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47]• How simulated bots can solve any problem [9:07]• Practical uses of simulated data [21:49]• Why the mobile operating system language Swift is interesting for A.I....

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "591: Simulations and Synthetic Data for Machine Learning" was published on July 12, 2022 and runs 74 minutes.

July 12, 2022 ·74m · Super Data Science: ML & AI Podcast with Jon Krohn

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Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more! In this episode you will learn: • What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47] • How simulated bots can solve any problem [9:07] • Practical uses of simulated data [21:49] • Why the mobile operating system language Swift is interesting for A.I. [25:46] • Why it's critical to track the amount of junk in space [35:47] • Whether programming or statistical skills are more important in data science [47:05] • What it’s like creating video games in a "secret" games lab [56:45] • Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54] Additional materials: www.superdatascience.com/591

Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more! In this episode you will learn: • What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47] • How simulated bots can solve any problem [9:07] • Practical uses of simulated data [21:49] • Why the mobile operating system language Swift is interesting for A.I. [25:46] • Why it's critical to track the amount of junk in space [35:47] • Whether programming or statistical skills are more important in data science [47:05] • What it’s like creating video games in a "secret" games lab [56:45] • Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54] Additional materials: www.superdatascience.com/591
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