877 Episodes

  1. 376: Expose Yourself to New Ideas Regularly

    Published: 6/19/2020

  2. 375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer

    Published: 6/17/2020

  3. 374: Remember to Wind Down

    Published: 6/12/2020

  4. 373: TensorFlow and AI Learnings for Developers

    Published: 6/10/2020

  5. 372: Understanding the P-Value

    Published: 6/5/2020

  6. 371: The Power of Memory For Productivity

    Published: 6/3/2020

  7. 370: What is Support Vector Regression (SVR)?

    Published: 5/29/2020

  8. 369: Real Data Analytics for Economics, HR, and COVID-19

    Published: 5/27/2020

  9. 368: Future-Proof Your Career

    Published: 5/22/2020

  10. 367: Building Data Pipelines for COVID-19 Modeling

    Published: 5/20/2020

  11. 366: Define Your Own Success

    Published: 5/15/2020

  12. 365: Deep Learning Models For Recruitment

    Published: 5/13/2020

  13. 364: Depression and Suicidal Thoughts

    Published: 5/8/2020

  14. 363: Intuition, Frameworks, and Unlocking the Power of Data

    Published: 5/6/2020

  15. 362: Hybrid AI

    Published: 5/1/2020

  16. 361: How To Succeed As An Analytics Consultant

    Published: 4/29/2020

  17. 360: Importance of Sleep

    Published: 4/24/2020

  18. 359: Tackling Data Science Job Hunting, Interviews & Negotiations

    Published: 4/22/2020

  19. 358: Racism and Discrimination

    Published: 4/17/2020

  20. 357: Emotions, Relationships, and Being Kind During the Pandemic

    Published: 4/15/2020

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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.