Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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316: Make It About Yourself
Publisert: 22.11.2019 -
315: Making Data Accessible
Publisert: 21.11.2019 -
314: Meet the Team
Publisert: 15.11.2019 -
313: The Power of Online Data Education
Publisert: 14.11.2019 -
312: Contemplation
Publisert: 8.11.2019 -
311: Using Data Right In Smart Cities
Publisert: 7.11.2019 -
310: Trial by Fire
Publisert: 1.11.2019 -
309: Learning Through Competition
Publisert: 30.10.2019 -
308: Your Tribe
Publisert: 25.10.2019 -
307: Problem Solving Through Better Thinking
Publisert: 23.10.2019 -
306: Pura Vida
Publisert: 18.10.2019 -
305: Using Data Visualization Tools
Publisert: 16.10.2019 -
304: The Law of Attraction
Publisert: 11.10.2019 -
303: Proper Hypothesis Testing For Every Field
Publisert: 9.10.2019 -
302: What is Data Science to you?
Publisert: 4.10.2019 -
301: Finding Your Edge
Publisert: 2.10.2019 -
300: Legacy
Publisert: 27.9.2019 -
299: Becoming Seasoned At Failure
Publisert: 25.9.2019 -
298: The Six Months Rule
Publisert: 20.9.2019 -
297: Fortitude & Passion in the Data Science Journey
Publisert: 18.9.2019
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.
