The Data Exchange with Ben Lorica
En podkast av Ben Lorica - Torsdager
Kategorier:
251 Episoder
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End-to-end deep learning models for speech applications
Publisert: 26.11.2020 -
Securing machine learning applications
Publisert: 19.11.2020 -
Testing Natural Language Models
Publisert: 12.11.2020 -
Detecting Fake News
Publisert: 5.11.2020 -
The Computational Limits of Deep Learning
Publisert: 29.10.2020 -
Making deep learning accessible
Publisert: 22.10.2020 -
Building and deploying knowledge graphs
Publisert: 15.10.2020 -
Financial Time Series Forecasting with Deep Learning
Publisert: 8.10.2020 -
A programming language for scientific machine learning and differentiable programming
Publisert: 1.10.2020 -
Using machine learning to modernize medical triage and monitoring systems
Publisert: 24.9.2020 -
Connecting Reinforcement Learning to Simulation Software
Publisert: 17.9.2020 -
Using machine learning to detect shifts in government policy
Publisert: 10.9.2020 -
What is AI Assurance?
Publisert: 3.9.2020 -
Best practices for building conversational AI applications
Publisert: 27.8.2020 -
Tools for scaling machine learning
Publisert: 20.8.2020 -
From Python beginner to seasoned software engineer
Publisert: 13.8.2020 -
Assessing Models and Simulations of Epidemic Infectious Diseases
Publisert: 6.8.2020 -
Improving the hiring pipeline for software engineers
Publisert: 30.7.2020 -
How to build state-of-the-art chatbots
Publisert: 23.7.2020 -
Democratizing machine learning
Publisert: 16.7.2020
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/].