877 Episoder

  1. 056: Date With Destiny

    Udgivet: 26.5.2017
  2. 055: Building and Managing a Successful Data Science Team

    Udgivet: 24.5.2017
  3. 054: Selective Ignorance

    Udgivet: 19.5.2017
  4. 053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist

    Udgivet: 17.5.2017
  5. 052: Getting Things Done

    Udgivet: 12.5.2017
  6. 051: Understanding the Newest Big Data Technology Buzz Terms

    Udgivet: 10.5.2017
  7. 050: Teamwork

    Udgivet: 5.5.2017
  8. 049: Great Tips on Building a Successful Analytics Culture

    Udgivet: 3.5.2017
  9. 048: Push Yourself

    Udgivet: 28.4.2017
  10. 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

    Udgivet: 26.4.2017
  11. 046: What is Reality?

    Udgivet: 21.4.2017
  12. 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

    Udgivet: 19.4.2017
  13. 044: Addicted to Data

    Udgivet: 15.4.2017
  14. 043: Solving an Optimization Problem with a Custom Built Algorithm

    Udgivet: 12.4.2017
  15. 042: Secret to Success

    Udgivet: 7.4.2017
  16. 041: An Inspiring Journey from a Totally Different Background to Data Science

    Udgivet: 5.4.2017
  17. 040: Get in Touch

    Udgivet: 31.3.2017
  18. 039: Key Data Science and Statistical Skills to Get Hired at VSCO

    Udgivet: 29.3.2017
  19. 038: How to Get a Job in Data Science

    Udgivet: 24.3.2017
  20. 037: Develop your Dream Data Science Career with Experfy

    Udgivet: 22.3.2017

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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.

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