The Data Exchange with Ben Lorica
Podcast autorstwa Ben Lorica - Czwartki
Kategorie:
256 Odcinki
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Business at the speed of AI: Lessons from Shopify
Opublikowany: 26.03.2020 -
How deep learning is being used in search and information retrieval
Opublikowany: 19.03.2020 -
The responsible development, deployment and operation of machine learning systems
Opublikowany: 12.03.2020 -
Hyperscaling natural language processing
Opublikowany: 5.03.2020 -
What businesses need to know about model explainability
Opublikowany: 27.02.2020 -
Scalable Machine Learning, Scalable Python, For Everyone
Opublikowany: 20.02.2020 -
Computational humanness, analogy and innovation, and soft concepts
Opublikowany: 13.02.2020 -
Building domain specific natural language applications
Opublikowany: 6.02.2020 -
The state of privacy-preserving machine learning
Opublikowany: 30.01.2020 -
Taking messaging and data ingestion systems to the next level
Opublikowany: 23.01.2020 -
Business at the speed of AI: Lessons from Rakuten
Opublikowany: 16.01.2020 -
The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks
Opublikowany: 9.01.2020 -
Key AI and Data Trends for 2020
Opublikowany: 26.12.2019 -
The evolution of TensorFlow and of machine learning infrastructure
Opublikowany: 12.12.2019 -
Building large-scale, real-time computer vision applications
Opublikowany: 26.11.2019 -
Taking stock of foundational tools for analytics and machine learning
Opublikowany: 12.11.2019
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/].