Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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236: How to Deal with Negative Emotions
Publisert: 15.2.2019 -
235: Living the Dream With Data Science
Publisert: 14.2.2019 -
234: Data Science in Education
Publisert: 8.2.2019 -
233: High Octane Data Science Leadership at Red Bull
Publisert: 7.2.2019 -
232: Sleep on it
Publisert: 1.2.2019 -
231: Data Visualizers: The Storytellers of Data Science
Publisert: 31.1.2019 -
230: SuperDataScience 2.0
Publisert: 25.1.2019 -
229: Data-Driven Approach of Doing Business
Publisert: 24.1.2019 -
228: Data Science in Mining
Publisert: 18.1.2019 -
227: Enhancing Your Mobile Gaming Experience With Data Science
Publisert: 17.1.2019 -
226: Flat Tyres Happen
Publisert: 11.1.2019 -
225: The Benefit of Having a Diverse Skill Set
Publisert: 10.1.2019 -
224: Hacks For Reading More Books
Publisert: 4.1.2019 -
223: Data Science Trends for 2019
Publisert: 3.1.2019 -
SDS 222: 2018 in Numbers
Publisert: 28.12.2018 -
221: 1-on-1 with Kirill: What I learned in 2018
Publisert: 27.12.2018 -
220: Data Science in Retail
Publisert: 21.12.2018 -
219: How Kaplan uses Data for Education
Publisert: 20.12.2018 -
218: Start A Great Day
Publisert: 14.12.2018 -
217: Aerospace Engineers and Data Science
Publisert: 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.
