Super Data Science: ML & AI Podcast with Jon Krohn
Podcast készítő Jon Krohn
877 Epizód
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636: The Equality Machine
Közzétéve: 2022. 12. 16. -
635: The Perils of Manually Labeling Data for Machine Learning Models
Közzétéve: 2022. 12. 13. -
634: Model Error Analysis
Közzétéve: 2022. 12. 09. -
633: Responsible Decentralized Intelligence
Közzétéve: 2022. 12. 06. -
632: Liquid Neural Networks
Közzétéve: 2022. 12. 02. -
631: Data Analytics Career Orientation
Közzétéve: 2022. 11. 29. -
630: Resilient Machine Learning
Közzétéve: 2022. 11. 25. -
629: Software for Efficient Data Science
Közzétéve: 2022. 11. 22. -
628: The Critical Human Element of Successful A.I. Deployments
Közzétéve: 2022. 11. 18. -
627: AutoML: Automated Machine Learning
Közzétéve: 2022. 11. 15. -
626: Subword Tokenization with Byte-Pair Encoding
Közzétéve: 2022. 11. 11. -
625: Analyzing Blockchain Data and Cryptocurrencies
Közzétéve: 2022. 11. 08. -
624: Imagen Video: Incredible Text-to-Video Generation
Közzétéve: 2022. 11. 04. -
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Közzétéve: 2022. 11. 01. -
622: Burnout: Causes and Solutions
Közzétéve: 2022. 10. 28. -
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Közzétéve: 2022. 10. 25. -
620: OpenAI Whisper: General-Purpose Speech Recognition
Közzétéve: 2022. 10. 21. -
619: Tools for Deploying Data Models into Production
Közzétéve: 2022. 10. 18. -
618: The Joy of Atelic Activities
Közzétéve: 2022. 10. 14. -
617: Causal Modeling and Sequence Data
Közzétéve: 2022. 10. 11.
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.