Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Dec 28, 2021 • 1h 10min

535: How to Found, Grow, and Sell a Data Science Start-up

Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.In this episode you will learn: The story behind the naming of Yhat and its early beginnings [5:10] Austin and Yhat's experience at Y Combinator [19:00] The benefits of being a technical founder [25:00] From arts degree graduate to successful tech entrepreneur [27:00] Austin's latest venture, Laika [39:30] The tools that Austin uses day-to-day [47:30] Unity gaming environment [49:58] What makes a great data scientist [56:23] Additional materials: www.superdatascience.com/535
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Dec 24, 2021 • 2min

534: A Holiday Greeting

Jon sends a holiday greeting to all listeners.Additional materials: www.superdatascience.com/534
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Dec 21, 2021 • 1h 59min

533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully

Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.In this episode you will learn: What is Nearmap? [5:22] What is a Director of AI Output Systems? [7:51] A case study [20:35] MLOps at Nearmap [26:37] Brett’s day-to-day and what he looks for in hires [40:19] Brett’s academic and research history [53:30] Brett’s work in nuclear fusion and predictions for the technology [1:04:48] The tools Brett used in his research [1:26:34] ProCan project [1:34:27] Brett’s prediction for future AI applications [1:48:30] Additional materials: www.superdatascience.com/533
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Dec 17, 2021 • 5min

532: Mutable vs Immutable Conditions

Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.Additional materials: www.superdatascience.com/532
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Dec 14, 2021 • 51min

531: Data Science at the Command Line

Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.In this episode you will learn: The genesis of Jeroen’s book [3:24] Data Science at the Command Line [8:55] Creating your own command line tools [22:07] Polyglot data scientist [24:29] Data Science Workshops [27:01] Jeroen’s PhD research [30:38] Additional materials: www.superdatascience.com/531
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Dec 10, 2021 • 5min

530: Ten A.I. Thought Leaders to Follow (on Twitter)

Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey.Additional materials: www.superdatascience.com/530
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Dec 7, 2021 • 53min

529: A.I. Robotics at Home

Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.In this episode you will learn: Dave’s Armoury [4:44] Robotic cornhole tournament [12:33] Dave’s many robots [14:25] Dave’s idea process [28:51] Future robots [31:43] Dave’s consulting business [33:27] Tools Dave likes to use [37:05] How did Dave get started in this line of work? [38:50] Dave’s advice to people who want to get into robotics [41:18] What is Dave excited about in the future? [45:38] Additional materials: www.superdatascience.com/529
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Dec 3, 2021 • 4min

528: The Normal Anxiety of Content Creation

Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.Additional materials: www.superdatascience.com/528
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Nov 30, 2021 • 1h 1min

527: Automating Data Analytics

Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.In this episode you will learn: Meaning of the name Sisu [3:08] What Sisu does [4:45] Sisu and the data science stack [17:00] Going from academia to startups [22:37] What Sisu looks for when hiring [28:57] Peter’s favorite tools [32:40] Peter’s academic research [45:02] Additional materials: www.superdatascience.com/527
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Nov 26, 2021 • 6min

526: The Highest-Paying Data Frameworks

I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.Additional materials: www.superdatascience.com/526

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