The Data Exchange with Ben Lorica

The Data Exchange with Ben Lorica

Por: Ben Lorica
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/].
320 episodios disponibles

Latest episodes of the podcast The Data Exchange with Ben Lorica

Mostrando página 16 de 16

Algorithms that continually invent both problems and solutions 23/04/2020
Computational Models and Simulations of Epidemic Infectious Diseases 16/04/2020
Human-in-the-loop machine learning 09/04/2020
Next-generation simulation software will incorporate deep reinforcement learning 02/04/2020
Business at the speed of AI: Lessons from Shopify 26/03/2020
How deep learning is being used in search and information retrieval 19/03/2020
The responsible development, deployment and operation of machine learning systems 12/03/2020
Hyperscaling natural language processing 05/03/2020
What businesses need to know about model explainability 27/02/2020
Scalable Machine Learning, Scalable Python, For Everyone 20/02/2020
Computational humanness, analogy and innovation, and soft concepts 13/02/2020
Building domain specific natural language applications 06/02/2020
The state of privacy-preserving machine learning 30/01/2020
Taking messaging and data ingestion systems to the next level 23/01/2020
Business at the speed of AI: Lessons from Rakuten 16/01/2020
The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks 09/01/2020
Key AI and Data Trends for 2020 26/12/2019
The evolution of TensorFlow and of machine learning infrastructure 12/12/2019
Building large-scale, real-time computer vision applications 26/11/2019
Taking stock of foundational tools for analytics and machine learning 12/11/2019
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