Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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316: Make It About Yourself
Publicat: 22.11.2019 -
315: Making Data Accessible
Publicat: 21.11.2019 -
314: Meet the Team
Publicat: 15.11.2019 -
313: The Power of Online Data Education
Publicat: 14.11.2019 -
312: Contemplation
Publicat: 08.11.2019 -
311: Using Data Right In Smart Cities
Publicat: 07.11.2019 -
310: Trial by Fire
Publicat: 01.11.2019 -
309: Learning Through Competition
Publicat: 30.10.2019 -
308: Your Tribe
Publicat: 25.10.2019 -
307: Problem Solving Through Better Thinking
Publicat: 23.10.2019 -
306: Pura Vida
Publicat: 18.10.2019 -
305: Using Data Visualization Tools
Publicat: 16.10.2019 -
304: The Law of Attraction
Publicat: 11.10.2019 -
303: Proper Hypothesis Testing For Every Field
Publicat: 09.10.2019 -
302: What is Data Science to you?
Publicat: 04.10.2019 -
301: Finding Your Edge
Publicat: 02.10.2019 -
300: Legacy
Publicat: 27.09.2019 -
299: Becoming Seasoned At Failure
Publicat: 25.09.2019 -
298: The Six Months Rule
Publicat: 20.09.2019 -
297: Fortitude & Passion in the Data Science Journey
Publicat: 18.09.2019
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.
