Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
-
116: The Power of Gratitude
Udgivet: 22.12.2017 -
115: Application of Geospatial Analytics to Business and Real Life
Udgivet: 21.12.2017 -
114: Expand Your Comfort Zone
Udgivet: 15.12.2017 -
113: How Constant Learning Created a Jet-Set Career
Udgivet: 13.12.2017 -
112: How to Win Friends & Influence People
Udgivet: 8.12.2017 -
111: The Power of Soft Skills in Data Science
Udgivet: 6.12.2017 -
110: AlphaGo Zero
Udgivet: 2.12.2017 -
109: Business Consultancy in the Space of Data Science
Udgivet: 29.11.2017 -
108: Working Remotely
Udgivet: 24.11.2017 -
107: Charting a Career in Energy Analytics
Udgivet: 22.11.2017 -
106: Recap of our DataScienceGO 2017 Conference
Udgivet: 17.11.2017 -
105: DataScienceGO’s Discussion Panel on Careers
Udgivet: 15.11.2017 -
104: Board Games
Udgivet: 10.11.2017 -
103: Why this Is the Golden Age of Data Science & How to Get In
Udgivet: 8.11.2017 -
102: Intuition vs Mathematics in Data Science
Udgivet: 3.11.2017 -
101: What a Data Science Headhunter is Looking For
Udgivet: 1.11.2017 -
100: 100 Episodes
Udgivet: 27.10.2017 -
099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence
Udgivet: 25.10.2017 -
098: Willpower
Udgivet: 20.10.2017 -
097: Leveraging Data Science Techniques into E-Commerce & Other Fields
Udgivet: 18.10.2017
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.