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