Super Data Science: ML & AI Podcast with Jon Krohn
Een podcast door Jon Krohn
877 Afleveringen
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636: The Equality Machine
Gepubliceerd: 16-12-2022 -
635: The Perils of Manually Labeling Data for Machine Learning Models
Gepubliceerd: 13-12-2022 -
634: Model Error Analysis
Gepubliceerd: 9-12-2022 -
633: Responsible Decentralized Intelligence
Gepubliceerd: 6-12-2022 -
632: Liquid Neural Networks
Gepubliceerd: 2-12-2022 -
631: Data Analytics Career Orientation
Gepubliceerd: 29-11-2022 -
630: Resilient Machine Learning
Gepubliceerd: 25-11-2022 -
629: Software for Efficient Data Science
Gepubliceerd: 22-11-2022 -
628: The Critical Human Element of Successful A.I. Deployments
Gepubliceerd: 18-11-2022 -
627: AutoML: Automated Machine Learning
Gepubliceerd: 15-11-2022 -
626: Subword Tokenization with Byte-Pair Encoding
Gepubliceerd: 11-11-2022 -
625: Analyzing Blockchain Data and Cryptocurrencies
Gepubliceerd: 8-11-2022 -
624: Imagen Video: Incredible Text-to-Video Generation
Gepubliceerd: 4-11-2022 -
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Gepubliceerd: 1-11-2022 -
622: Burnout: Causes and Solutions
Gepubliceerd: 28-10-2022 -
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Gepubliceerd: 25-10-2022 -
620: OpenAI Whisper: General-Purpose Speech Recognition
Gepubliceerd: 21-10-2022 -
619: Tools for Deploying Data Models into Production
Gepubliceerd: 18-10-2022 -
618: The Joy of Atelic Activities
Gepubliceerd: 14-10-2022 -
617: Causal Modeling and Sequence Data
Gepubliceerd: 11-10-2022
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.
