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 22, 2016 • 60min
016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins
Director at PricewaterhouseCoopers, Richard Hopkins, discusses data-driven operations, consulting approaches, and mentoring in this episode. Topics include the importance of understanding operational context in data science, the significance of mentorship in career growth, challenges in data-driven decision-making, and maximizing business efficiency through ERP systems.
Dec 17, 2016 • 1h
015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown
Data Science Enthusiast Paul Brown talks about using data science for side income, stoic philosophy, and the importance of QA. He shares insights on transitioning from accounting to data science, utilizing advanced tools, Python for retail arbitrage, and embracing challenges in learning. The podcast also discusses entrepreneurship, collaboration, communication in data science, and explores data science tools and impactful blogs.
Dec 12, 2016 • 1h 9min
014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe
In this episode of the SuperDataScience Podcast, I chat with Senior Vice President of Risk Management, Greg Poppe. You will get to know about credit scoring models, learn the law of large numbers and get more insights on model building.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/14
Dec 1, 2016 • 1h 3min
013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle
Chief Data Scientist Damian Mingle discusses building 95% accuracy models, quick wins in data science, and saving lives with data. Topics include developing a sepsis prediction model, using machine learning for West Nile virus prevention, embracing Python and R tools, and exploring the future of data science with a focus on automation and maximizing model accuracy.
Nov 23, 2016 • 24min
SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov
Explore the reasons behind Vitaly Dolgov giving up coffee, insights on IQ vs EQ, and effective business coaching techniques. Topics include transitioning to tea, exceptions in diet plans, vegan gladiators, cognitive enhancements, and building trust with clients through effective communication strategies.
Nov 22, 2016 • 47min
012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney
Up and Rising Tableau Expert Megan Putney shares insights on learning Tableau online, Ad Hoc Analytics, and Tableau user groups. Topics include mapping custom regions, analyzing retail store data, beer sales data analysis, and utilizing Tableau for sales data visualization. Megan also recommends 'The Power of Habit' for data professionals and encourages online learning for Tableau skill development.
Nov 17, 2016 • 1h 5min
011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller
In this session of the Super Data Science Podcast, I chat with Aspiring Data Scientist Garth Zoller. You will know how a creative person ends up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deals with vague business problems.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/11
Nov 10, 2016 • 1h 4min
010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan
In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/10
Nov 3, 2016 • 60min
009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd
In this session of the Super Data Science Podcast, I chat with Neuroscience PhD Turned Retail Data Analyst Muhsin Karim. You will know what is neuroscience, learn more about machine learning and discover some surprising implications from Moore’s Law.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/9
Oct 28, 2016 • 1h 2min
008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys
In this session of the Super Data Science Podcast, I chat with Ubisoft Finance Director Ulf Morys. You will learn what data science is in computer games, how to build a data landscape and know what are the different ways of using data to save millions.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/8
