The Data Exchange with Ben Lorica
En podkast av Ben Lorica - Torsdager
281 Episoder
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Training and Sharing Large Language Models
Publisert: 24.6.2021 -
Questioning the Efficacy of Neural Recommendation Systems
Publisert: 17.6.2021 -
Automation in Data Management and Data Labeling
Publisert: 10.6.2021 -
Reinforcement Learning For the Win
Publisert: 3.6.2021 -
How Companies Are Investing in AI Risk and Liability Minimization
Publisert: 27.5.2021 -
The Future of Machine Learning Lies in Better Abstractions
Publisert: 20.5.2021 -
Why You Should Optimize Your Deep Learning Inference Platform
Publisert: 13.5.2021 -
AI Beyond Automation
Publisert: 6.5.2021 -
Injecting Software Engineering Practices and Rigor into Data Governance
Publisert: 29.4.2021 -
Building a data store for unstructured data and deep learning applications
Publisert: 22.4.2021 -
How Technology Companies Are Using Ray
Publisert: 15.4.2021 -
Data quality is key to great AI products and services
Publisert: 8.4.2021 -
Machine Learning in Healthcare
Publisert: 1.4.2021 -
Measuring the Impact of AI and Machine Learning Research
Publisert: 25.3.2021 -
The Mathematics of Data Integration and Data Quality
Publisert: 18.3.2021 -
Pricing Data Products
Publisert: 11.3.2021 -
Challenges, Opportunities, and Trends in EdTech
Publisert: 4.3.2021 -
Towards Simple, Interpretable, and Trustworthy AI
Publisert: 25.2.2021 -
The Rise of Metadata Management Systems
Publisert: 18.2.2021 -
Tools for building robust, state-of-the-art machine learning models
Publisert: 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/].
