Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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436: Attention Sharpening Tools Part 2
Publicat: 15.01.2021 -
435: Scaling Up Machine Learning
Publicat: 14.01.2021 -
434: Attention Sharpening Tools Part 1
Publicat: 08.01.2021 -
433: Data Science Trends for 2021
Publicat: 07.01.2021 -
432: Hello from Jon and Welcome to 2021
Publicat: 01.01.2021 -
431: One-on-one with Kirill: What I learned in 2020
Publicat: 31.12.2020 -
430: Intellect and Intelligence
Publicat: 25.12.2020 -
429: 2020's Biggest Data Science Breakthroughs
Publicat: 24.12.2020 -
428: The Internal Conflict Model
Publicat: 18.12.2020 -
427: Impacting Through Technology
Publicat: 17.12.2020 -
426: The Shift: From Ambition to Meaning
Publicat: 11.12.2020 -
425: The Past, Present, and Future of AI Services
Publicat: 10.12.2020 -
424: A Symbiotic Relationship With AI
Publicat: 04.12.2020 -
423: The Growth and Future of STEM in Africa
Publicat: 03.12.2020 -
422: Pain Vs. Suffering
Publicat: 27.11.2020 -
421: Real-World Applications of Digital Twins
Publicat: 26.11.2020 -
420: Wheel of Life
Publicat: 20.11.2020 -
419: Unlocking the Architecture of Innovation
Publicat: 19.11.2020 -
418: Play With Feeling
Publicat: 13.11.2020 -
417: Data Engineering and Product Development
Publicat: 12.11.2020
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.
