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