Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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236: How to Deal with Negative Emotions
Publicat: 15.02.2019 -
235: Living the Dream With Data Science
Publicat: 14.02.2019 -
234: Data Science in Education
Publicat: 08.02.2019 -
233: High Octane Data Science Leadership at Red Bull
Publicat: 07.02.2019 -
232: Sleep on it
Publicat: 01.02.2019 -
231: Data Visualizers: The Storytellers of Data Science
Publicat: 31.01.2019 -
230: SuperDataScience 2.0
Publicat: 25.01.2019 -
229: Data-Driven Approach of Doing Business
Publicat: 24.01.2019 -
228: Data Science in Mining
Publicat: 18.01.2019 -
227: Enhancing Your Mobile Gaming Experience With Data Science
Publicat: 17.01.2019 -
226: Flat Tyres Happen
Publicat: 11.01.2019 -
225: The Benefit of Having a Diverse Skill Set
Publicat: 10.01.2019 -
224: Hacks For Reading More Books
Publicat: 04.01.2019 -
223: Data Science Trends for 2019
Publicat: 03.01.2019 -
SDS 222: 2018 in Numbers
Publicat: 28.12.2018 -
221: 1-on-1 with Kirill: What I learned in 2018
Publicat: 27.12.2018 -
220: Data Science in Retail
Publicat: 21.12.2018 -
219: How Kaplan uses Data for Education
Publicat: 20.12.2018 -
218: Start A Great Day
Publicat: 14.12.2018 -
217: Aerospace Engineers and Data Science
Publicat: 13.12.2018
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.
