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