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