

Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books

Aug 11, 2021 • 50min
495: Successful AI Projects and AI Startups
Greg Coquillo, an expert in ROI for startups and maximizing AI investments, joins the podcast to discuss making the most out of AI, quantum machine learning, and the importance of establishing traction and sales for startups before seeking funding.

Aug 6, 2021 • 3min
494: How to Instantly Appreciate Being Alive
Discover a mindfulness strategy that prompts gratitude for the present by imagining revival in the future. Learn how this approach enhances the value of everyday experiences and brings a new appreciation for mundane moments in life.

Aug 3, 2021 • 1h 3min
493: Bringing Data to the People
Anjali Shrivastava, a data science degree holder, discusses her studies, content creation process on YouTube, balancing dual degrees during the pandemic, and hopes for the future. She shares insights on creating interactive data visualizations and humanizing data through journalism. The episode also covers her previous data science roles, first full-time job, and efforts to make data science accessible to everyone.

Jul 30, 2021 • 6min
492: The World is Awful (and it's Never Been Better)
Exploring the changing child mortality rate as evidence of the world's improvement and potential, highlighting progress, disparities, and opportunities in healthcare and technology.

Jul 27, 2021 • 44min
491: R in Production
Veerle van Leemput from Analytic Health discusses using R in production, debunking the stigma of R, Analytic Health's R usage, and tools like Tidyverse and API creation. Also, they share a passion for powerlifting, emphasizing R's role in healthcare data analysis and showcasing data integration challenges in healthcare.

Jul 23, 2021 • 2min
490: Say No to Pie Charts
The podcast delves into why pie charts should be avoided in data visualization and suggests using bar charts instead for clearer comparison. It explores the challenges of interpreting slice sizes in pie and donut charts and recommends reading further for circular data representation.

Jul 20, 2021 • 1h
489: Monetizing Machine Learning
Vin Vashishta discusses AI strategy for monetization, low-code/no-code in data science, top gap skills, socially beneficial ML apps, challenging data science problems, and data sets for consumer insights.

Jul 16, 2021 • 4min
488: The Price of Your Attention
Discover the importance of safeguarding focus and buying time in your day. Learn how to monetize time with hourly rates and product development, and improve productivity through automation and delegation.

Jul 13, 2021 • 43min
487: Fixing Dirty Data
Susan Walsh, data cleaning expert, shares her 'COAT' system and case studies. Importance of clean procurement data for cost savings discussed. Focus on data classification, normalization, and book 'Between the Spreadsheets'.

Jul 9, 2021 • 6min
486: The History of Calculus
Explore the fascinating history of calculus, tracing its development from ancient civilizations to modern mathematicians like Leibniz and Newton. Discover how calculus techniques are still relevant today in shaping our understanding of physics.


