877 Episodes

  1. 056: Date With Destiny

    Published: 5/26/2017

  2. 055: Building and Managing a Successful Data Science Team

    Published: 5/24/2017

  3. 054: Selective Ignorance

    Published: 5/19/2017

  4. 053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist

    Published: 5/17/2017

  5. 052: Getting Things Done

    Published: 5/12/2017

  6. 051: Understanding the Newest Big Data Technology Buzz Terms

    Published: 5/10/2017

  7. 050: Teamwork

    Published: 5/5/2017

  8. 049: Great Tips on Building a Successful Analytics Culture

    Published: 5/3/2017

  9. 048: Push Yourself

    Published: 4/28/2017

  10. 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

    Published: 4/26/2017

  11. 046: What is Reality?

    Published: 4/21/2017

  12. 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

    Published: 4/19/2017

  13. 044: Addicted to Data

    Published: 4/15/2017

  14. 043: Solving an Optimization Problem with a Custom Built Algorithm

    Published: 4/12/2017

  15. 042: Secret to Success

    Published: 4/7/2017

  16. 041: An Inspiring Journey from a Totally Different Background to Data Science

    Published: 4/5/2017

  17. 040: Get in Touch

    Published: 3/31/2017

  18. 039: Key Data Science and Statistical Skills to Get Hired at VSCO

    Published: 3/29/2017

  19. 038: How to Get a Job in Data Science

    Published: 3/24/2017

  20. 037: Develop your Dream Data Science Career with Experfy

    Published: 3/22/2017

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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.