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