Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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436: Attention Sharpening Tools Part 2
Udgivet: 15.1.2021 -
435: Scaling Up Machine Learning
Udgivet: 14.1.2021 -
434: Attention Sharpening Tools Part 1
Udgivet: 8.1.2021 -
433: Data Science Trends for 2021
Udgivet: 7.1.2021 -
432: Hello from Jon and Welcome to 2021
Udgivet: 1.1.2021 -
431: One-on-one with Kirill: What I learned in 2020
Udgivet: 31.12.2020 -
430: Intellect and Intelligence
Udgivet: 25.12.2020 -
429: 2020's Biggest Data Science Breakthroughs
Udgivet: 24.12.2020 -
428: The Internal Conflict Model
Udgivet: 18.12.2020 -
427: Impacting Through Technology
Udgivet: 17.12.2020 -
426: The Shift: From Ambition to Meaning
Udgivet: 11.12.2020 -
425: The Past, Present, and Future of AI Services
Udgivet: 10.12.2020 -
424: A Symbiotic Relationship With AI
Udgivet: 4.12.2020 -
423: The Growth and Future of STEM in Africa
Udgivet: 3.12.2020 -
422: Pain Vs. Suffering
Udgivet: 27.11.2020 -
421: Real-World Applications of Digital Twins
Udgivet: 26.11.2020 -
420: Wheel of Life
Udgivet: 20.11.2020 -
419: Unlocking the Architecture of Innovation
Udgivet: 19.11.2020 -
418: Play With Feeling
Udgivet: 13.11.2020 -
417: Data Engineering and Product Development
Udgivet: 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.
