Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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196: Diversity in Data Science
Udgivet: 28.9.2018 -
195: Inspiration from the Founder of the R Ladies Organization
Udgivet: 26.9.2018 -
194: Why I Became Vegan
Udgivet: 21.9.2018 -
193: A serious talk on AI taking over jobs
Udgivet: 19.9.2018 -
192: Ace the "Greatest Weakness" Interview Question
Udgivet: 14.9.2018 -
191: Helping San Diego Become a Smart City
Udgivet: 12.9.2018 -
190: See You in San Diego
Udgivet: 7.9.2018 -
189: How I Got 45,000 Linkedin Followers in One Year
Udgivet: 5.9.2018 -
188: 6 Ways to Fill the Data Science Gap
Udgivet: 31.8.2018 -
187: How Data Science is Becoming a Science
Udgivet: 29.8.2018 -
186: Why Execution Trumps Knowledge
Udgivet: 24.8.2018 -
185: The Pre-Requisites for Analytics to Happen
Udgivet: 22.8.2018 -
184: Why You Need Domain Knowledge in Data Science
Udgivet: 17.8.2018 -
183: Everything about Data Analytics & its Future
Udgivet: 15.8.2018 -
182: The Importance of the Data Science Community
Udgivet: 10.8.2018 -
181: 10 Tips from a Data Science Consultant
Udgivet: 8.8.2018 -
180: The Idea Behind Essentialism
Udgivet: 3.8.2018 -
179: How a Data Science Recruiter Thinks
Udgivet: 1.8.2018 -
178: Visualization in Data Science
Udgivet: 27.7.2018 -
177: Building a Career in Data Science
Udgivet: 25.7.2018
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.
