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