Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
-
216: Data Science In Healthcare
Udgivet: 7.12.2018 -
215: Integrating Data Science as a Developer
Udgivet: 6.12.2018 -
214: What Is Amazing In Your Life
Udgivet: 30.11.2018 -
213: Amazing Tips from Two Legends of Visualization
Udgivet: 29.11.2018 -
212: Model Driven Vs Data Driven
Udgivet: 23.11.2018 -
211: Working on Apache Spark & R Package Development
Udgivet: 22.11.2018 -
210: Compete With Yourself
Udgivet: 16.11.2018 -
SDS 209: Full-Time Data Scientist after just 1 year in the field
Udgivet: 15.11.2018 -
208: Re-live DSGO2018
Udgivet: 9.11.2018 -
207: The Technical Skills that Actually Add Business Value
Udgivet: 8.11.2018 -
206: Machine Learning is All Aroud You
Udgivet: 2.11.2018 -
205: Contributing to the community as a Data Science Influencer
Udgivet: 31.10.2018 -
204: Set Your Goals Higher
Udgivet: 26.10.2018 -
203: Highlights of DSGO 2018 According to an Aspiring Data Scientist
Udgivet: 24.10.2018 -
202: Ideas and Execution
Udgivet: 19.10.2018 -
201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World
Udgivet: 18.10.2018 -
200: What’s the Future of Data Science? Speaker Mashup Edition
Udgivet: 12.10.2018 -
199: Data Visualization Insights from NYU
Udgivet: 10.10.2018 -
198: Two Millimeter Shifts
Udgivet: 5.10.2018 -
197: How to be Happy and Successful
Udgivet: 3.10.2018
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.