Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodio
-
636: The Equality Machine
Pubblicato: 16/12/2022 -
635: The Perils of Manually Labeling Data for Machine Learning Models
Pubblicato: 13/12/2022 -
634: Model Error Analysis
Pubblicato: 09/12/2022 -
633: Responsible Decentralized Intelligence
Pubblicato: 06/12/2022 -
632: Liquid Neural Networks
Pubblicato: 02/12/2022 -
631: Data Analytics Career Orientation
Pubblicato: 29/11/2022 -
630: Resilient Machine Learning
Pubblicato: 25/11/2022 -
629: Software for Efficient Data Science
Pubblicato: 22/11/2022 -
628: The Critical Human Element of Successful A.I. Deployments
Pubblicato: 18/11/2022 -
627: AutoML: Automated Machine Learning
Pubblicato: 15/11/2022 -
626: Subword Tokenization with Byte-Pair Encoding
Pubblicato: 11/11/2022 -
625: Analyzing Blockchain Data and Cryptocurrencies
Pubblicato: 08/11/2022 -
624: Imagen Video: Incredible Text-to-Video Generation
Pubblicato: 04/11/2022 -
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Pubblicato: 01/11/2022 -
622: Burnout: Causes and Solutions
Pubblicato: 28/10/2022 -
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Pubblicato: 25/10/2022 -
620: OpenAI Whisper: General-Purpose Speech Recognition
Pubblicato: 21/10/2022 -
619: Tools for Deploying Data Models into Production
Pubblicato: 18/10/2022 -
618: The Joy of Atelic Activities
Pubblicato: 14/10/2022 -
617: Causal Modeling and Sequence Data
Pubblicato: 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.
