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
Jul 10, 2019 • 1h 4min
277: The New Age of Reason
In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277
Jul 5, 2019 • 16min
276: Data Science in Wealth Management
How can you use these processes in your industry?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276
Jul 3, 2019 • 1h 2min
275: Machine Learning Through Reinforcement & Contextual Bandits
In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275
Jun 28, 2019 • 14min
274: Ask the Right Question
What has happened to you recently that could call for clarity from a mentor or coach? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274
Jun 26, 2019 • 1h 6min
273: Predict, Prevent, Detect: Cyber Security
In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273
Jun 21, 2019 • 14min
272: Data Science in Energy
How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272
Jun 19, 2019 • 1h 6min
271: Making the Public Graphically Literate
In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271
Jun 14, 2019 • 25min
270: The Cold is My Master
How can you leverage this to help you focus on your work in data science?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270
Jun 12, 2019 • 1h 4min
269: Maximizing Advertising Efforts With Data
In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269
Jun 7, 2019 • 16min
268: Data Science in Insurance
How can you see data science disrupting and progressing the insurance industry in the future?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268
