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
Mar 19, 2021 • 7min
454: The Staggering Pace of Progress Part 2
In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields.Additional materials: www.superdatascience.com/454
Mar 17, 2021 • 1h 22min
453: Big Global Problems Worth Solving with Machine Learning
Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve.In this episode you will learn:
Welch Labs on YouTube [4:54]
What Stephen’s been up to [7:56]
Stephen’s 2020 year-end blog post [10:11]
Stephen’s reflections on 10 areas worth focusing on [16:25]
Additional materials: www.superdatascience.com/453
Mar 12, 2021 • 6min
452: The Staggering Pace of Progress
In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today.Additional materials: www.superdatascience.com/452
Mar 11, 2021 • 1h 16min
451: Translating PhD Research into ML Applications
Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.In this episode you will learn:
Dan’s neuroscience undergrad and MATLAB [4:12]
Dan’s Ph.D. timeline and research [14:01]
How to start a Ph.D. while working full time [22:45]
Dan’s work at TrueMotion and label data [30:39]
Dan’s title and role at Twitter [39:15]
Specific projects at Twitter [44:09]
What skills someone should bring to a Twitter job interview [52:06]
What machine learning approaches will be important in the future? [1:00:38]
Additional materials: www.superdatascience.com/451
Mar 5, 2021 • 30min
450: Yoga Nidra
This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra.Additional materials: www.superdatascience.com/450
Mar 4, 2021 • 60min
449: Fairness in A.I.
Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.In this episode you will learn:
Comet ML [3:22]
What is a data science evangelist? [7:08]
FullyConnected [12:04]
Imposter Syndrome and Ayodele’s book [15:57]
What Ayodele wished she learned from grad school [20:25]
Uncovering Bias in Machine Learning [27:00]
Where can we affect this positive change in fairness? [31:08]
The potential for a rosy future [49:20]
Ayodele’s LinkedIn Learning course [52:24]
Additional materials: www.superdatascience.com/449
Feb 26, 2021 • 5min
448: How to be a Data Science Leader
This week, I answer your questions about how to take yourself from data science practitioner to data science leader. Additional materials: www.superdatascience.com/448
Feb 25, 2021 • 58min
447: Commercial ML Opportunities Lie Everywhere
Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.In this episode you will learn:
SFL Scientific [4:20]
SFL’s example work [10:55]
Public sector vs private sector work [20:28]
Michael’s day-to-day [30:18]
What is Michael looking for in the people he hires? [33:38]
Michael’s career journey [41:39]
What is Michael excited about for the future? [48:38]
Additional materials: www.superdatascience.com/447
Feb 19, 2021 • 7min
446: Getting Started in Machine Learning
This week I answer your questions about machine learning and how to educate yourself further in the field.Additional materials: www.superdatascience.com/446
Feb 18, 2021 • 55min
445: Conversational A.I.
Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world.In this episode you will learn:
Kylie.ai under Directly [4:51]
Sinan’s day-to-day work and tools [10:45]
Use cases [18:27]
AutoML’s role in these processes [21:55]
What hard or soft skills are needed for this work? [29:32]
Sinan’s background in teaching [34:58]
Sinan’s history in pure math and applied math [39:44]
Sinan’s math tattoos [43:48]
Additional materials: www.superdatascience.com/445
