Super Data Science: ML & AI Podcast with Jon Krohn
Podcast autorstwa Jon Krohn
877 Odcinki
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436: Attention Sharpening Tools Part 2
Opublikowany: 15.01.2021 -
435: Scaling Up Machine Learning
Opublikowany: 14.01.2021 -
434: Attention Sharpening Tools Part 1
Opublikowany: 8.01.2021 -
433: Data Science Trends for 2021
Opublikowany: 7.01.2021 -
432: Hello from Jon and Welcome to 2021
Opublikowany: 1.01.2021 -
431: One-on-one with Kirill: What I learned in 2020
Opublikowany: 31.12.2020 -
430: Intellect and Intelligence
Opublikowany: 25.12.2020 -
429: 2020's Biggest Data Science Breakthroughs
Opublikowany: 24.12.2020 -
428: The Internal Conflict Model
Opublikowany: 18.12.2020 -
427: Impacting Through Technology
Opublikowany: 17.12.2020 -
426: The Shift: From Ambition to Meaning
Opublikowany: 11.12.2020 -
425: The Past, Present, and Future of AI Services
Opublikowany: 10.12.2020 -
424: A Symbiotic Relationship With AI
Opublikowany: 4.12.2020 -
423: The Growth and Future of STEM in Africa
Opublikowany: 3.12.2020 -
422: Pain Vs. Suffering
Opublikowany: 27.11.2020 -
421: Real-World Applications of Digital Twins
Opublikowany: 26.11.2020 -
420: Wheel of Life
Opublikowany: 20.11.2020 -
419: Unlocking the Architecture of Innovation
Opublikowany: 19.11.2020 -
418: Play With Feeling
Opublikowany: 13.11.2020 -
417: Data Engineering and Product Development
Opublikowany: 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.
