Super Data Science: ML & AI Podcast with Jon Krohn - podcast cover

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.
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Episodes

005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev

In this session of the Super Data Science Podcast, I chat with Forensics Investigator Dmitry Korneev. You will learn about Computer Forensics, what Fraud Analytics actually is and we will discuss how to know when to take a break from work. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/5

Oct 09, 20161 hr 4 min

004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan

In this session of the Super Data Science Podcast, I chat with business strategy expert Brendan Hogan. You will learn how he uses Data to alter strategy of businesses, you will learn about the three pillars of research and how to build a successful career from your strengths. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/4

Oct 02, 20161 hr 1 min
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