Super Data Science: ML & AI Podcast with Jon Krohn
Un pódcast de Jon Krohn
877 Episodo
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256: Data Science in Transportation
Publicado: 26/4/2019 -
255: Diving Into Computer Vision
Publicado: 24/4/2019 -
254: Two Wolves
Publicado: 19/4/2019 -
253: Solving Problems With Data Science & Uber
Publicado: 17/4/2019 -
252: Data Science In Construction
Publicado: 12/4/2019 -
251: Transforming the Identity Authentication Space
Publicado: 10/4/2019 -
250: Guilt vs Shame
Publicado: 5/4/2019 -
249: Diving Into Data Science Consulting
Publicado: 3/4/2019 -
248: Data Science in Government
Publicado: 29/3/2019 -
247: The Science Fact of Technology, AI, & Social Media
Publicado: 27/3/2019 -
246: Boost Your Self-Confidence
Publicado: 22/3/2019 -
245: Knowing What You Need to Know With Data Science
Publicado: 20/3/2019 -
244: Data Science in Entertainment
Publicado: 15/3/2019 -
243: Geospatial Analytics: Where Data Science & Actuarial Science Meet
Publicado: 13/3/2019 -
242: Meditation
Publicado: 8/3/2019 -
241: Pushing the Boundaries in Mental Healthcare with Data Science
Publicado: 7/3/2019 -
240: State of Artificial Intelligence in Business
Publicado: 1/3/2019 -
239: From Candidate to Career: Pathways for Data Scientists
Publicado: 28/2/2019 -
238: Data Science in Banking
Publicado: 22/2/2019 -
237: Data Privacy, GDPR, and You
Publicado: 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.