877 Epizód

  1. 376: Expose Yourself to New Ideas Regularly

    Közzétéve: 2020. 06. 19.

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

    Közzétéve: 2020. 06. 17.

  3. 374: Remember to Wind Down

    Közzétéve: 2020. 06. 12.

  4. 373: TensorFlow and AI Learnings for Developers

    Közzétéve: 2020. 06. 10.

  5. 372: Understanding the P-Value

    Közzétéve: 2020. 06. 05.

  6. 371: The Power of Memory For Productivity

    Közzétéve: 2020. 06. 03.

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

    Közzétéve: 2020. 05. 29.

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

    Közzétéve: 2020. 05. 27.

  9. 368: Future-Proof Your Career

    Közzétéve: 2020. 05. 22.

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

    Közzétéve: 2020. 05. 20.

  11. 366: Define Your Own Success

    Közzétéve: 2020. 05. 15.

  12. 365: Deep Learning Models For Recruitment

    Közzétéve: 2020. 05. 13.

  13. 364: Depression and Suicidal Thoughts

    Közzétéve: 2020. 05. 08.

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

    Közzétéve: 2020. 05. 06.

  15. 362: Hybrid AI

    Közzétéve: 2020. 05. 01.

  16. 361: How To Succeed As An Analytics Consultant

    Közzétéve: 2020. 04. 29.

  17. 360: Importance of Sleep

    Közzétéve: 2020. 04. 24.

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

    Közzétéve: 2020. 04. 22.

  19. 358: Racism and Discrimination

    Közzétéve: 2020. 04. 17.

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

    Közzétéve: 2020. 04. 15.

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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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