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
Nov 5, 2020 • 1h 9min
415: Developing and Maintaining Your Technical and Soft Skills
Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.In this episode you will learn:
Asieh’s background [5:09]
Machine learning techniques for processing biosignals [14:24]
Signal processing [22:22]
Asieh’s career and move from academia to industry [27:19]
Maintaining technical skills as a manager [41:48]
MassMutual is hiring [47:02]
Leading a remote data science team and work/life balance [49:55]
Asieh’s words for other women in data science [55:28]
Future of data science [1:00:30]
Additional materials: www.superdatascience.com/415
Oct 30, 2020 • 14min
414: Needs vs. Wants
Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.Additional materials: www.superdatascience.com/414
Oct 28, 2020 • 1h 16min
413: Changing The World With Data
Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.In this episode you will learn:
Parenting and its effects on Emmanuel’s life and work [3:14]
Why did Data-Pop Alliance come to life? [8:42]
Working with Harvard and MIT [13:04]
Examples of projects and areas of focus [18:16]
Data as lenses and data as lever [29:43]
Sustainable Development Goals indicators [38:21]
How can we use data as a lever? [43:41]
How can data help with disaster resilience? [57:09]
The future of data science [1:04:09]
Additional materials: www.superdatascience.com/413
Oct 23, 2020 • 12min
412: Stand More - Sit Less
Today I talked with a chiropractor about how to best treat your back while working during the day.Additional materials: www.superdatascience.com/412
Oct 21, 2020 • 1h 17min
411: Succeeding in Analytics by Thinking Outside the Data
Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.In this episode you will learn:
Jennifer’s start in data science [6:04]
What is analytics support function? [16:01]
Keys to success in analytics roles [21:09]
How do you find these roles? [42:42]
DataScienceGO Virtual #2 [50:45]
Common questions Jennifer gets [1:00:52]
Additional materials: www.superdatascience.com/411
Oct 16, 2020 • 7min
410: Communicate Your Needs
Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.Additional materials: www.superdatascience.com/410
Oct 14, 2020 • 1h 9min
409: Succeeding & Networking In The Virtual Space
Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.In this episode you will learn:
Steve’s work in the Australian Computer Society [4:32]
River City Labs [12:22]
Hackathons during the pandemic [16:21]
Choosing a path in AI [26:09]
The AI bubble and its implications [31:09]
Strategic data acquisition [38:04]
Explainable AI [43:50]
Creating a personal brand [51:35]
Additional materials: www.superdatascience.com/409
Oct 9, 2020 • 13min
408: Meaning is Everything
Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.Additional materials: www.superdatascience.com/408
Oct 7, 2020 • 1h 24min
407: How to Encourage Diversity in Data Science
Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.In this episode you will learn:
Margot’s travels and background [7:29]
Margot’s position and work at Stanford [13:38]
What is linear algebra? [18:00]
Principle component analysis [23:02]
WIDS, Women in Data Science [32:08]
Margot’s diversity call to action [58:12]
How can men support their female colleagues? [1:05:55]
Additional materials: www.superdatascience.com/407
Oct 2, 2020 • 8min
406: Abandon Hope
Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.Additional materials: www.superdatascience.com/406
