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