The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Thursdays

Categories:
278 Episodes
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Modernizing Data Integration
Published: 21/10/2021 -
Deploying Machine Learning Models Safely and Systematically
Published: 14/10/2021 -
Large-scale machine learning and AI on multi-modal data
Published: 7/10/2021 -
Machine Learning in Astronomy and Physics
Published: 30/09/2021 -
The Unreasonable Effectiveness of Multiple Dispatch
Published: 23/09/2021 -
How To Lead In Data Science
Published: 16/09/2021 -
Why interest in graph databases and graph analytics are growing
Published: 9/09/2021 -
The State of Data Journalism
Published: 2/09/2021 -
Auditing machine learning models for discrimination, bias, and other risks
Published: 26/08/2021 -
An oscilloscope for deep learning
Published: 19/08/2021 -
What’s new in data engineering
Published: 12/08/2021 -
The evolution of the data science role and of data science tools
Published: 5/08/2021 -
Data Augmentation in Natural Language Processing
Published: 29/07/2021 -
Storage Technologies for a Multi-cloud World
Published: 22/07/2021 -
Building a next-generation dataflow orchestration and automation system
Published: 15/07/2021 -
Building a flexible, intuitive, and fast forecasting library
Published: 8/07/2021 -
Neural Models for Tabular Data
Published: 1/07/2021 -
Training and Sharing Large Language Models
Published: 24/06/2021 -
Questioning the Efficacy of Neural Recommendation Systems
Published: 17/06/2021 -
Automation in Data Management and Data Labeling
Published: 10/06/2021
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/].