877 Epizód

  1. 016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins

    Közzétéve: 2016. 12. 22.

  2. 015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown

    Közzétéve: 2016. 12. 17.

  3. 014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe

    Közzétéve: 2016. 12. 12.

  4. 013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle

    Közzétéve: 2016. 12. 01.

  5. SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov

    Közzétéve: 2016. 11. 23.

  6. 012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney

    Közzétéve: 2016. 11. 22.

  7. 011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller

    Közzétéve: 2016. 11. 17.

  8. 010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan

    Közzétéve: 2016. 11. 10.

  9. 009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd

    Közzétéve: 2016. 11. 03.

  10. 008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys

    Közzétéve: 2016. 10. 28.

  11. 007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov

    Közzétéve: 2016. 10. 21.

  12. 006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

    Közzétéve: 2016. 10. 16.

  13. 005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev

    Közzétéve: 2016. 10. 09.

  14. 004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan

    Közzétéve: 2016. 10. 02.

  15. 003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

    Közzétéve: 2016. 09. 25.

  16. 002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

    Közzétéve: 2016. 09. 14.

  17. 001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

    Közzétéve: 2016. 09. 10.

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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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