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
Apr 10, 2020 • 16min
356: Working Remotely
Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider.Additional materials: www.superdatascience.com/356
Apr 8, 2020 • 49min
355: DJ Patil on Harnessing the Power of Data Science Community
DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.In this episode you will learn:
How does it feel to be the person who created data science as we know it now? [3:17]
What data science is not [6:01]
Ethics and data science development in different countries [10:00]
What is the “biorevolution”? [16:02]
The importance of data sharing [20:10]
The current state of Chief Data Scientist of USA [24:07]
LinkedIn Q&A [26:03]
What to think about when you think about data science [44:08]
Additional materials: www.superdatascience.com/355
Apr 3, 2020 • 14min
354: Negative Coefficients
Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?Additional materials: www.superdatascience.com/354
Apr 1, 2020 • 1h 16min
353: How to Practice Human-Centric Data Science
Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.In this episode you will learn:
Brian’s two lives [7:28]
Brian’s human-first focal point [10:05]
The process of Brian’s consulting work [17:07]
How can an individual contributor be better at design thinking? [40:43]
Walkthrough Brian’s course and seminar [54:37]
Additional materials: www.superdatascience.com/353
Mar 27, 2020 • 14min
352: History of Data Science - Part 5
Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.Additional materials: www.superdatascience.com/352
Mar 25, 2020 • 1h 1min
351: Self-Starting In Data Science
Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.In this episode you will learn:
Where did Stratos start? [6:16]
How to keep the momentum for learning [12:20]
Stratos’s goals [19:35]
Planning the steps to getting a data science job [23:01]
Triad for successful interviews [32:47]
Application process [34:53]
Experiences from the first data science job [45:51]
Additional materials: www.superdatascience.com/351
Mar 20, 2020 • 6min
350: Coronavirus
Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?Additional materials: www.superdatascience.com/350
Mar 19, 2020 • 1h 2min
349: Human-in-the-Loop Algorithms in Retail
Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.In this episode you will learn:
Working in Stitch Fix [5:18]
How does Stitch Fix work? [11:29]
Stitch Fix algorithms tour [20:14]
Open positions in Stitch Fix [36:25]
Stitch Fix takeaways for other companies [39:07]
Humans + machines [44:19]
Stitch Fix global expansion [47:34]
Future of personalization [50:16]
Brad’s advice to data scientists [55:33]
Additional materials: www.superdatascience.com/349
Mar 13, 2020 • 20min
348: History of Data Science - Part 4
In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.Additional materials: www.superdatascience.com/348
Mar 12, 2020 • 1h 9min
347: How To Tell Your Story For Career Success
Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.In this episode you will learn:
Kerri at DSGO 2019 [6:09]
Who is Kerri Twigg? [8:00]
A case study from DSGO 2019 [9:51]
How do you build a career story? [18:30]
Kerri’s book and practices [32:35]
How to prepare for interviews [43:22]
3-Parts of a career story [56:53]
Additional materials: www.superdatascience.com/347
