Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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616: The Four Requirements for Expertise (beyond the 10,000 Hours)
Udgivet: 7.10.2022 -
615: How to Ace Your Data Science Interview
Udgivet: 4.10.2022 -
614: Thriving on Information Overload
Udgivet: 30.9.2022 -
613: Causal Machine Learning
Udgivet: 27.9.2022 -
612: More Guests on Fridays
Udgivet: 23.9.2022 -
611: Open-Ended A.I.: Practical Applications for Humans and Machines
Udgivet: 20.9.2022 -
610: Who Dares Wins
Udgivet: 16.9.2022 -
SDS 609: Data Mesh
Udgivet: 13.9.2022 -
SDS 607: Inferring Causality
Udgivet: 9.9.2022 -
SDS 608: Daily Habit #11: Assigning Deliverables
Udgivet: 8.9.2022 -
SDS 607: Inferring Causality
Udgivet: 6.9.2022 -
SDS 606: Four Thousand Weeks
Udgivet: 2.9.2022 -
SDS 605: Upskilling in Data Science and Machine Learning
Udgivet: 30.8.2022 -
SDS 604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved
Udgivet: 26.8.2022 -
SDS 603: Geospatial Data and Unconventional Routes into Data Careers
Udgivet: 23.8.2022 -
SDS 602: We Are Living in Ancient Times
Udgivet: 19.8.2022 -
SDS 601: Venture Capital for Data Science
Udgivet: 16.8.2022 -
SDS 600: Yoga Nidra Practice with Steve Fazzari
Udgivet: 12.8.2022 -
SDS 599: MLOps: Machine Learning Operations
Udgivet: 9.8.2022 -
SDS 598: Getting Kids Excited about STEM Subjects
Udgivet: 5.8.2022
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.
