Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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636: The Equality Machine
Publicat: 16.12.2022 -
635: The Perils of Manually Labeling Data for Machine Learning Models
Publicat: 13.12.2022 -
634: Model Error Analysis
Publicat: 09.12.2022 -
633: Responsible Decentralized Intelligence
Publicat: 06.12.2022 -
632: Liquid Neural Networks
Publicat: 02.12.2022 -
631: Data Analytics Career Orientation
Publicat: 29.11.2022 -
630: Resilient Machine Learning
Publicat: 25.11.2022 -
629: Software for Efficient Data Science
Publicat: 22.11.2022 -
628: The Critical Human Element of Successful A.I. Deployments
Publicat: 18.11.2022 -
627: AutoML: Automated Machine Learning
Publicat: 15.11.2022 -
626: Subword Tokenization with Byte-Pair Encoding
Publicat: 11.11.2022 -
625: Analyzing Blockchain Data and Cryptocurrencies
Publicat: 08.11.2022 -
624: Imagen Video: Incredible Text-to-Video Generation
Publicat: 04.11.2022 -
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Publicat: 01.11.2022 -
622: Burnout: Causes and Solutions
Publicat: 28.10.2022 -
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Publicat: 25.10.2022 -
620: OpenAI Whisper: General-Purpose Speech Recognition
Publicat: 21.10.2022 -
619: Tools for Deploying Data Models into Production
Publicat: 18.10.2022 -
618: The Joy of Atelic Activities
Publicat: 14.10.2022 -
617: Causal Modeling and Sequence Data
Publicat: 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.
