Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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636: The Equality Machine
Publisert: 16.12.2022 -
635: The Perils of Manually Labeling Data for Machine Learning Models
Publisert: 13.12.2022 -
634: Model Error Analysis
Publisert: 9.12.2022 -
633: Responsible Decentralized Intelligence
Publisert: 6.12.2022 -
632: Liquid Neural Networks
Publisert: 2.12.2022 -
631: Data Analytics Career Orientation
Publisert: 29.11.2022 -
630: Resilient Machine Learning
Publisert: 25.11.2022 -
629: Software for Efficient Data Science
Publisert: 22.11.2022 -
628: The Critical Human Element of Successful A.I. Deployments
Publisert: 18.11.2022 -
627: AutoML: Automated Machine Learning
Publisert: 15.11.2022 -
626: Subword Tokenization with Byte-Pair Encoding
Publisert: 11.11.2022 -
625: Analyzing Blockchain Data and Cryptocurrencies
Publisert: 8.11.2022 -
624: Imagen Video: Incredible Text-to-Video Generation
Publisert: 4.11.2022 -
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Publisert: 1.11.2022 -
622: Burnout: Causes and Solutions
Publisert: 28.10.2022 -
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Publisert: 25.10.2022 -
620: OpenAI Whisper: General-Purpose Speech Recognition
Publisert: 21.10.2022 -
619: Tools for Deploying Data Models into Production
Publisert: 18.10.2022 -
618: The Joy of Atelic Activities
Publisert: 14.10.2022 -
617: Causal Modeling and Sequence Data
Publisert: 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.
