The Data Exchange with Ben Lorica
Un podcast de Ben Lorica - Les jeudis
281 Épisodes
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Why You Need a Modern Metadata Platform
Publié: 11/11/2021 -
Making Large Language Models Smarter
Publié: 04/11/2021 -
AI Begins With Data Quality
Publié: 28/10/2021 -
Modernizing Data Integration
Publié: 21/10/2021 -
Deploying Machine Learning Models Safely and Systematically
Publié: 14/10/2021 -
Large-scale machine learning and AI on multi-modal data
Publié: 07/10/2021 -
Machine Learning in Astronomy and Physics
Publié: 30/09/2021 -
The Unreasonable Effectiveness of Multiple Dispatch
Publié: 23/09/2021 -
How To Lead In Data Science
Publié: 16/09/2021 -
Why interest in graph databases and graph analytics are growing
Publié: 09/09/2021 -
The State of Data Journalism
Publié: 02/09/2021 -
Auditing machine learning models for discrimination, bias, and other risks
Publié: 26/08/2021 -
An oscilloscope for deep learning
Publié: 19/08/2021 -
What’s new in data engineering
Publié: 12/08/2021 -
The evolution of the data science role and of data science tools
Publié: 05/08/2021 -
Data Augmentation in Natural Language Processing
Publié: 29/07/2021 -
Storage Technologies for a Multi-cloud World
Publié: 22/07/2021 -
Building a next-generation dataflow orchestration and automation system
Publié: 15/07/2021 -
Building a flexible, intuitive, and fast forecasting library
Publié: 08/07/2021 -
Neural Models for Tabular Data
Publié: 01/07/2021
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/].