The Data Exchange with Ben Lorica
Un pódcast de Ben Lorica - Jueves
281 Episodo
-
Training and Sharing Large Language Models
Publicado: 24/6/2021 -
Questioning the Efficacy of Neural Recommendation Systems
Publicado: 17/6/2021 -
Automation in Data Management and Data Labeling
Publicado: 10/6/2021 -
Reinforcement Learning For the Win
Publicado: 3/6/2021 -
How Companies Are Investing in AI Risk and Liability Minimization
Publicado: 27/5/2021 -
The Future of Machine Learning Lies in Better Abstractions
Publicado: 20/5/2021 -
Why You Should Optimize Your Deep Learning Inference Platform
Publicado: 13/5/2021 -
AI Beyond Automation
Publicado: 6/5/2021 -
Injecting Software Engineering Practices and Rigor into Data Governance
Publicado: 29/4/2021 -
Building a data store for unstructured data and deep learning applications
Publicado: 22/4/2021 -
How Technology Companies Are Using Ray
Publicado: 15/4/2021 -
Data quality is key to great AI products and services
Publicado: 8/4/2021 -
Machine Learning in Healthcare
Publicado: 1/4/2021 -
Measuring the Impact of AI and Machine Learning Research
Publicado: 25/3/2021 -
The Mathematics of Data Integration and Data Quality
Publicado: 18/3/2021 -
Pricing Data Products
Publicado: 11/3/2021 -
Challenges, Opportunities, and Trends in EdTech
Publicado: 4/3/2021 -
Towards Simple, Interpretable, and Trustworthy AI
Publicado: 25/2/2021 -
The Rise of Metadata Management Systems
Publicado: 18/2/2021 -
Tools for building robust, state-of-the-art machine learning models
Publicado: 11/2/2021
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/].
