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
Feb 12, 2021 • 6min
444: Future-Proofing Your Career
In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability.Additional materials: www.superdatascience.com/444
Feb 11, 2021 • 1h 7min
443: The End of Jobs
Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more.In this episode you will learn:
The Birthday Rules [3:51]
A history of work [7:41]
The myth of the lifetime contract [12:15]
What the data says about now [21:02]
On-demand labor market [25:34]
Remote work [32:09]
What role will automation play? [46:27]
Future of employment from the study lens [48:30]
Additional materials: www.superdatascience.com/443
Feb 5, 2021 • 7min
442: Data Science as an Atomic Habit
In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal.Additional materials: www.superdatascience.com/442
Feb 4, 2021 • 56min
441: Communicating Data Effectively
Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.In this episode you will learn:
What does Kate do (from her children’s perspective) [1:56]
What kind of tools does Kate employ? [5:19]
Kate’s day-to-day [13:03]
DATAcated Conference [16:03]
How do you amass a big LinkedIn following? [20:39]
Kate’s four published books [29:55]
The guidelines to follow to succeed in this field [37:00]
What’s next for Kate? [41:24]
Additional materials: www.superdatascience.com/441
Jan 29, 2021 • 5min
440: MuZero: Learning Without Rules
In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero.Additional materials: www.superdatascience.com/440
Jan 28, 2021 • 49min
439: Deep Learning for Machine Vision
Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.In this episode you will learn:
Deblina’s master’s program work [4:03]
Deblina’s computer vision research and Ph.D. [11:46]
Deblina’s drumming hobby [20:18]
The daily work [24:40]
What key skills do you need as a data scientist? [33:21]
How can a data scientist prepare for the future? [37:03]
How does Deblina tackle time management? [40:24]
Additional materials: www.superdatascience.com/439
Jan 22, 2021 • 6min
438: Artificial General Intelligence
In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there.Additional materials: www.superdatascience.com/438
Jan 20, 2021 • 1h 14min
437: Data Science at a World-Leading Hedge Fund
Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions.In this episode you will learn:
Life and work during the pandemic [2:23]
Claudia’s history with horses and riding [8:28]
Claudia’s work at Two Sigma [12:00]
Claudia’s role on a daily basis [20:51]
Tools of the trade [30:27]
What Claudia looks for when hiring [36:37]
What skills do future hires need? [40:32]
Claudia’s history with data science competitions [48:22]
Why work in finance and at Two Sigma? [1:00:19]
Additional materials: www.superdatascience.com/437
Jan 15, 2021 • 7min
436: Attention Sharpening Tools Part 2
In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it.Additional materials: www.superdatascience.com/436
Jan 14, 2021 • 1h 10min
435: Scaling Up Machine Learning
Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more.In this episode you will learn:
Erica’s role at Etsy and problem solving between platforms [2:28]
Interesting failures Erica has navigated [25:40]
How does Erica’s team select problems to solve [33:07]
Engineering at scale [40:15]
What does Erica’s working day look like? [46:30]
Etsy is hiring [53:00]
Diversity in hiring [57:12]
Do data scientists need PhDs? [1:01:26]
Additional materials: www.superdatascience.com/435
