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
Dec 24, 2021 • 2min
534: A Holiday Greeting
Host sends holiday greetings and reflects on Winter Solstice, encouraging listeners to connect with loved ones and find joy and peace during the festive season.
Dec 21, 2021 • 1h 59min
533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Dr. Brett Tully, Director of AI Output Systems at Nearmap, discusses fusion energy, cancer proteomics, and massive-scale machine vision. Topics include Nearmap, MLOps, Brett's academic research, tools used in nuclear fusion research, and predictions for future AI applications.
Dec 17, 2021 • 5min
532: Mutable vs Immutable Conditions
Jon explores the differences between immutable and mutable conditions for problem-solving, highlighting the benefits of studying immutable conditions to tackle challenges related to mutable conditions
Dec 14, 2021 • 51min
531: Data Science at the Command Line
Jeroen Janssens, author of a book on utilizing the command line for data science, talks about creating command line tools, being a polyglot data scientist, and his PhD research on the podcast. He also discusses the importance of data science workshops and leveraging LaTeX for technical documents.
Dec 10, 2021 • 5min
530: Ten A.I. Thought Leaders to Follow (on Twitter)
Discover the top 10 AI thought leaders to follow on Twitter and explore their valuable insights and impact on the AI community. From directors to professors to founders, learn from influential figures in the data science world.
Dec 7, 2021 • 53min
529: A.I. Robotics at Home
Dave Niewinski, a robotics consultant and popular YouTuber, discusses his innovative robot designs, including a cornhole player and weed exterminator. He talks about using OpenCV and GPU for visual processing in robotics, hosts a fun robot cornhole tournament, and explores practical applications of cutting tools like spindles and knives. Niewinski also shares insights on creating self-driving lawnmowers and future robotics projects at home.
Dec 3, 2021 • 4min
528: The Normal Anxiety of Content Creation
Discover how to overcome anxiety and find success in content creation. Hear about the author's personal struggles and triumphs with self-doubt while writing their first book. Get inspired to persevere through anxieties and continue sharing your work despite fear of criticism.
Nov 30, 2021 • 1h 1min
527: Automating Data Analytics
Peter Bailis, CEO of Sisu Data, discusses automating data analytics, Sisu's role in the data science stack, transitioning from academia to startups, hiring criteria, favorite tools, and academic research. The episode highlights decision intelligence technology, automation for smaller companies, real-time decision-making, and startup success factors.
Nov 26, 2021 • 6min
526: The Highest-Paying Data Frameworks
Learn about the correlation between data framework familiarity and high salaries, including less common software like ContentSquare, Michelangelo, Ray, and Amundsen. Discover lucrative opportunities in the data field based on salary trends.
Nov 23, 2021 • 1h 9min
525: Hurdling Over Data Career Obstacles
Karen Jean-Francois, analytics consultant at Cardlytics, discusses empowering data scientists battling imposter syndrome. She shares insights on her background as a hurdler, the Women in Data podcast, favorite tools, balancing fitness and work, career challenges, and advancements in data.
