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