Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Oct 21, 2016 • 1h 7min

007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov

In this session of the Super Data Science Podcast, I chat with Top Analytics Consultant, Artem Vladimirov. You will learn about advanced analytics, get to know about what dynamic simulation is and learn some tips on how to get with data science.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/7
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Oct 16, 2016 • 54min

006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6
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Oct 9, 2016 • 1h 4min

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
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Oct 2, 2016 • 1h 1min

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
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Sep 25, 2016 • 54min

003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3
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Sep 14, 2016 • 51min

002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2
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Sep 10, 2016 • 42min

001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

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