Super Data Science: ML & AI Podcast with Jon Krohn cover image

Super Data Science: ML & AI Podcast with Jon Krohn

Latest episodes

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Mar 6, 2020 • 15min

346: My Top 5 Productivity Hacks

In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.Additional materials: www.superdatascience.com/346
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Mar 5, 2020 • 1h 12min

345: Machine Learning At Twitter

I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.In this episode you will learn: What is great about Twitter [5:31] Dan’s Ph.D. program [9:25] Dan’s work at Twitter [18:07] Dan at DSGO 2020 [35:16] LinkedIn Q&A [40:25] Dan’s advice [1:03:58] Additional materials: www.superdatascience.com/345
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Feb 28, 2020 • 8min

344: History of Data Science - Part 3

In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. Additional materials: www.superdatascience.com/344
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Feb 27, 2020 • 1h 10min

343: Career Jumpstarts through Data Science Retreat

I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.In this episode you will learn: Overview of Jose’s current projects [5:55] "What if I don’t have a tech background?" [09:58] How does it work? [11:51] Program structure [21:24] Tips for picking a portfolio project [26:45] The program’s next intake [1:03:06] Additional materials: www.superdatascience.com/343
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Feb 21, 2020 • 9min

342: History of Data Science - Part 2

In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time.Additional materials: www.superdatascience.com/342
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Feb 20, 2020 • 1h 16min

341: Talking Robotics with Brandon Rohrer

Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.In this episode you will learn: Brandon at MIT [7:41] iRobot [15:14] Moving from Facebook to iRobot [17:14] Brandon’s work in iRobot [20:18] Brandon as a data science influencer [30:08] Q&A [40:40] Additional materials: www.superdatascience.com/341
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Feb 14, 2020 • 20min

340: History of Data Science - Part 1

In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s.Additional materials: www.superdatascience.com/340
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Feb 13, 2020 • 1h 26min

339: The Power of Coaching

I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.In this episode you will learn: Managing expectations [9:21] Personal beliefs & parenting [17:42] Value of having a coach [25:33] Mindset over skillset [37:24] Dream lists [51:06] Ivor’s new projects [1:03:20] Additional materials: www.superdatascience.com/339
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Feb 7, 2020 • 6min

338: Too Many Photos

I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.Additional materials: www.superdatascience.com/338
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Feb 6, 2020 • 1h 15min

337: Hadley Wickham Talks Integration and Future of R and Python

Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.In this episode you will learn: Hadley’s R packages [8:26] Better integrations between R and Python [20:11] LinkedIn Q&A [33:34] useR Conference vs. RStudio Conference [50:46] LinkedIn Q&A: Career-related questions [1:01:06] LinkedIn Q&A: Future-related questions [1:08:01] Additional materials: www.superdatascience.com/337

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