Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
-
256: Data Science in Transportation
Udgivet: 26.4.2019 -
255: Diving Into Computer Vision
Udgivet: 24.4.2019 -
254: Two Wolves
Udgivet: 19.4.2019 -
253: Solving Problems With Data Science & Uber
Udgivet: 17.4.2019 -
252: Data Science In Construction
Udgivet: 12.4.2019 -
251: Transforming the Identity Authentication Space
Udgivet: 10.4.2019 -
250: Guilt vs Shame
Udgivet: 5.4.2019 -
249: Diving Into Data Science Consulting
Udgivet: 3.4.2019 -
248: Data Science in Government
Udgivet: 29.3.2019 -
247: The Science Fact of Technology, AI, & Social Media
Udgivet: 27.3.2019 -
246: Boost Your Self-Confidence
Udgivet: 22.3.2019 -
245: Knowing What You Need to Know With Data Science
Udgivet: 20.3.2019 -
244: Data Science in Entertainment
Udgivet: 15.3.2019 -
243: Geospatial Analytics: Where Data Science & Actuarial Science Meet
Udgivet: 13.3.2019 -
242: Meditation
Udgivet: 8.3.2019 -
241: Pushing the Boundaries in Mental Healthcare with Data Science
Udgivet: 7.3.2019 -
240: State of Artificial Intelligence in Business
Udgivet: 1.3.2019 -
239: From Candidate to Career: Pathways for Data Scientists
Udgivet: 28.2.2019 -
238: Data Science in Banking
Udgivet: 22.2.2019 -
237: Data Privacy, GDPR, and You
Udgivet: 21.2.2019
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.
