877 Folgen

  1. 316: Make It About Yourself

    Vom: 22.11.2019
  2. 315: Making Data Accessible

    Vom: 21.11.2019
  3. 314: Meet the Team

    Vom: 15.11.2019
  4. 313: The Power of Online Data Education

    Vom: 14.11.2019
  5. 312: Contemplation

    Vom: 8.11.2019
  6. 311: Using Data Right In Smart Cities

    Vom: 7.11.2019
  7. 310: Trial by Fire

    Vom: 1.11.2019
  8. 309: Learning Through Competition

    Vom: 30.10.2019
  9. 308: Your Tribe

    Vom: 25.10.2019
  10. 307: Problem Solving Through Better Thinking

    Vom: 23.10.2019
  11. 306: Pura Vida

    Vom: 18.10.2019
  12. 305: Using Data Visualization Tools

    Vom: 16.10.2019
  13. 304: The Law of Attraction

    Vom: 11.10.2019
  14. 303: Proper Hypothesis Testing For Every Field

    Vom: 9.10.2019
  15. 302: What is Data Science to you?

    Vom: 4.10.2019
  16. 301: Finding Your Edge

    Vom: 2.10.2019
  17. 300: Legacy

    Vom: 27.9.2019
  18. 299: Becoming Seasoned At Failure

    Vom: 25.9.2019
  19. 298: The Six Months Rule

    Vom: 20.9.2019
  20. 297: Fortitude & Passion in the Data Science Journey

    Vom: 18.9.2019

29 / 44

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.

Visit the podcast's native language site