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