THE FUTURE IS HERE

Natural Language Processing (NLP) – Paul Azunre | Podcast #23

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Paul holds a Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT). In his dissertation he developed novel global optimization techniques for previously unaddressed problem classes, including parabolic partial differential equations (PDEs), to improve the optical efficiency of solar energy. He has served as a Principal Investigator on several DARPA research program teams advancing the state of the field of Natural Language Processing (NLP). He has held the role of Research Director in Artificial Intelligence (AI), Machine Learning (ML)/Data Science, and NLP at companies ranging from small rapidly growing startups such as New Knowledge/Yonder to large companies such as Dun & Bradstreet.

📕 Paul’s book: https://bit.ly/3g5sPHO

🌎 Pauls’s website: https://www.azunre.com/
💼 Paul’s LinkedIn: https://www.linkedin.com/in/paulazunre/
🐤 Paul’s Twitter: https://twitter.com/pazunre
📸 Paul’s Instagram: https://www.instagram.com/azunre/

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#NaturalLanguageProcessing
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TIME STAMPS
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0:00 : Sponsor mention & Intro
3:23 : What is Natural Language Processing (NLP)?
4:44 : Why can you not hardcode NLP?
7:06 : ImageNet moment of NLP
13:03 : Major technologies in NLP
16:28 : Where does NLP go in the future?
19:11 : What are transfomer based models?
21:22 : Who can NLP help developing countries?
27:07 : How can people dive into NLP?
29:52 : Motivating words from Paul
32:06 : Closing remarks

Podcast Recorded: May, 14th 2020 – Subscriber Release Count: 8,736.