Super Data Science: ML & AI Podcast with Jon Krohn
Podcast készítő Jon Krohn
877 Epizód
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116: The Power of Gratitude
Közzétéve: 2017. 12. 22. -
115: Application of Geospatial Analytics to Business and Real Life
Közzétéve: 2017. 12. 21. -
114: Expand Your Comfort Zone
Közzétéve: 2017. 12. 15. -
113: How Constant Learning Created a Jet-Set Career
Közzétéve: 2017. 12. 13. -
112: How to Win Friends & Influence People
Közzétéve: 2017. 12. 08. -
111: The Power of Soft Skills in Data Science
Közzétéve: 2017. 12. 06. -
110: AlphaGo Zero
Közzétéve: 2017. 12. 02. -
109: Business Consultancy in the Space of Data Science
Közzétéve: 2017. 11. 29. -
108: Working Remotely
Közzétéve: 2017. 11. 24. -
107: Charting a Career in Energy Analytics
Közzétéve: 2017. 11. 22. -
106: Recap of our DataScienceGO 2017 Conference
Közzétéve: 2017. 11. 17. -
105: DataScienceGO’s Discussion Panel on Careers
Közzétéve: 2017. 11. 15. -
104: Board Games
Közzétéve: 2017. 11. 10. -
103: Why this Is the Golden Age of Data Science & How to Get In
Közzétéve: 2017. 11. 08. -
102: Intuition vs Mathematics in Data Science
Közzétéve: 2017. 11. 03. -
101: What a Data Science Headhunter is Looking For
Közzétéve: 2017. 11. 01. -
100: 100 Episodes
Közzétéve: 2017. 10. 27. -
099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence
Közzétéve: 2017. 10. 25. -
098: Willpower
Közzétéve: 2017. 10. 20. -
097: Leveraging Data Science Techniques into E-Commerce & Other Fields
Közzétéve: 2017. 10. 18.
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.
