Listen "591: Simulations and Synthetic Data for Machine Learning"
Episode Synopsis
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
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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