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