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