The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Giovedì
Categorie:
256 Episodio
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Key AI and Data Trends for 2021
Pubblicato: 31/12/2020 -
A Unified Management Model for Successful Data-Focused Teams
Pubblicato: 24/12/2020 -
Security and privacy for the disoriented
Pubblicato: 17/12/2020 -
The State of Responsible AI
Pubblicato: 10/12/2020 -
Improving the robustness of natural language applications
Pubblicato: 03/12/2020 -
End-to-end deep learning models for speech applications
Pubblicato: 26/11/2020 -
Securing machine learning applications
Pubblicato: 19/11/2020 -
Testing Natural Language Models
Pubblicato: 12/11/2020 -
Detecting Fake News
Pubblicato: 05/11/2020 -
The Computational Limits of Deep Learning
Pubblicato: 29/10/2020 -
Making deep learning accessible
Pubblicato: 22/10/2020 -
Building and deploying knowledge graphs
Pubblicato: 15/10/2020 -
Financial Time Series Forecasting with Deep Learning
Pubblicato: 08/10/2020 -
A programming language for scientific machine learning and differentiable programming
Pubblicato: 01/10/2020 -
Using machine learning to modernize medical triage and monitoring systems
Pubblicato: 24/09/2020 -
Connecting Reinforcement Learning to Simulation Software
Pubblicato: 17/09/2020 -
Using machine learning to detect shifts in government policy
Pubblicato: 10/09/2020 -
What is AI Assurance?
Pubblicato: 03/09/2020 -
Best practices for building conversational AI applications
Pubblicato: 27/08/2020 -
Tools for scaling machine learning
Pubblicato: 20/08/2020
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/].