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