The Data Exchange with Ben Lorica
En podcast av Ben Lorica - Torsdagar
281 Avsnitt
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Why You Need a Modern Metadata Platform
Publicerades: 2021-11-11 -
Making Large Language Models Smarter
Publicerades: 2021-11-04 -
AI Begins With Data Quality
Publicerades: 2021-10-28 -
Modernizing Data Integration
Publicerades: 2021-10-21 -
Deploying Machine Learning Models Safely and Systematically
Publicerades: 2021-10-14 -
Large-scale machine learning and AI on multi-modal data
Publicerades: 2021-10-07 -
Machine Learning in Astronomy and Physics
Publicerades: 2021-09-30 -
The Unreasonable Effectiveness of Multiple Dispatch
Publicerades: 2021-09-23 -
How To Lead In Data Science
Publicerades: 2021-09-16 -
Why interest in graph databases and graph analytics are growing
Publicerades: 2021-09-09 -
The State of Data Journalism
Publicerades: 2021-09-02 -
Auditing machine learning models for discrimination, bias, and other risks
Publicerades: 2021-08-26 -
An oscilloscope for deep learning
Publicerades: 2021-08-19 -
What’s new in data engineering
Publicerades: 2021-08-12 -
The evolution of the data science role and of data science tools
Publicerades: 2021-08-05 -
Data Augmentation in Natural Language Processing
Publicerades: 2021-07-29 -
Storage Technologies for a Multi-cloud World
Publicerades: 2021-07-22 -
Building a next-generation dataflow orchestration and automation system
Publicerades: 2021-07-15 -
Building a flexible, intuitive, and fast forecasting library
Publicerades: 2021-07-08 -
Neural Models for Tabular Data
Publicerades: 2021-07-01
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].