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