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Ben Lorica ยท Technology

The Data Exchange with 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/].

Episodes

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How graph technologies are being used to solve complex business problems

09 Jul 2020
49m
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Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

02 Jul 2020
42m
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Designing machine learning models for both consumer and industrial applications

25 Jun 2020
33m
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Building open source developer tools for language applications

18 Jun 2020
43m
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Viewing machine learning and data science applications as sociotechnical systems

11 Jun 2020
40m
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Identifying and mitigating liabilities and risks associated with AI

04 Jun 2020
35m
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How machine learning is being used in quantitative finance

28 May 2020
40m
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Understanding machine learning model governance

21 May 2020
35m
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Improving performance and scalability of data science libraries

14 May 2020
33m
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Why TinyML will be huge

07 May 2020
36m
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An open source platform for training deep learning models

30 Apr 2020
40m
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Algorithms that continually invent both problems and solutions

23 Apr 2020
43m
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Computational Models and Simulations of Epidemic Infectious Diseases

16 Apr 2020
34m
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Human-in-the-loop machine learning

09 Apr 2020
43m
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Next-generation simulation software will incorporate deep reinforcement learning

02 Apr 2020
39m
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Business at the speed of AI: Lessons from Shopify

26 Mar 2020
37m
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How deep learning is being used in search and information retrieval

19 Mar 2020
39m
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The responsible development, deployment and operation of machine learning systems

12 Mar 2020
38m
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Hyperscaling natural language processing

05 Mar 2020
35m
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What businesses need to know about model explainability

27 Feb 2020
36m
Page 18

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