Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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196: Diversity in Data Science
Publicat: 28.09.2018 -
195: Inspiration from the Founder of the R Ladies Organization
Publicat: 26.09.2018 -
194: Why I Became Vegan
Publicat: 21.09.2018 -
193: A serious talk on AI taking over jobs
Publicat: 19.09.2018 -
192: Ace the "Greatest Weakness" Interview Question
Publicat: 14.09.2018 -
191: Helping San Diego Become a Smart City
Publicat: 12.09.2018 -
190: See You in San Diego
Publicat: 07.09.2018 -
189: How I Got 45,000 Linkedin Followers in One Year
Publicat: 05.09.2018 -
188: 6 Ways to Fill the Data Science Gap
Publicat: 31.08.2018 -
187: How Data Science is Becoming a Science
Publicat: 29.08.2018 -
186: Why Execution Trumps Knowledge
Publicat: 24.08.2018 -
185: The Pre-Requisites for Analytics to Happen
Publicat: 22.08.2018 -
184: Why You Need Domain Knowledge in Data Science
Publicat: 17.08.2018 -
183: Everything about Data Analytics & its Future
Publicat: 15.08.2018 -
182: The Importance of the Data Science Community
Publicat: 10.08.2018 -
181: 10 Tips from a Data Science Consultant
Publicat: 08.08.2018 -
180: The Idea Behind Essentialism
Publicat: 03.08.2018 -
179: How a Data Science Recruiter Thinks
Publicat: 01.08.2018 -
178: Visualization in Data Science
Publicat: 27.07.2018 -
177: Building a Career in Data Science
Publicat: 25.07.2018
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.
