Super Data Science: ML & AI Podcast with Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
Latest episodes
Dec 24, 2021 • 2min
534: A Holiday Greeting
Jon sends a holiday greeting to all listeners.Additional materials: www.superdatascience.com/534
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
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
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
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
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
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
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
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
Nov 23, 2021 • 1h 9min
525: Hurdling Over Data Career Obstacles
Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.In this episode you will learn:
Karen’s background as a hurdler [4:42]
Women in Data Podcast [10:32]
Cardlytics [19:04]
Karen’s background and current career [22:55]
Karen’s favorite tools [31:29]
Karen’s balance of fitness and work [34:45]
The biggest challenge of Karen’s career [47:09]
Advancement in data [54:13]
What is Karen most excited about? [59:40]
Additional materials: www.superdatascience.com/525
