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
Oct 18, 2019 • 7min
306: Pura Vida
The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? Additional materials: www.superdatascience.com/306
Oct 16, 2019 • 1h 6min
305: Using Data Visualization Tools
Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.Additional materials: www.superdatascience.com/305
Oct 11, 2019 • 11min
304: The Law of Attraction
Can you think of examples when the law of attraction worked in your life? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/304
Oct 9, 2019 • 1h 10min
303: Proper Hypothesis Testing For Every Field
In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/303
Oct 4, 2019 • 6min
302: What is Data Science to you?
What is Data Science to you?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/302
Oct 2, 2019 • 1h 9min
301: Finding Your Edge
In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/301
Sep 27, 2019 • 10min
300: Legacy
What are you leaving for the next generation on this planet?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/300
Sep 25, 2019 • 1h 10min
299: Becoming Seasoned At Failure
In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/299
Sep 20, 2019 • 5min
298: The Six Months Rule
What would you change about the things you do in your life if you thought you only had 6 months to live?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/298
Sep 18, 2019 • 1h 6min
297: Fortitude & Passion in the Data Science Journey
In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/297
