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Big DataNights – NLP A-Z!

Our next Big DataNights cohort is focused on explaining the main tools in NLP! Each meetup will focus on a different subject ranging from intro and general background on language structure to advanced topics and new trends in the NLP world. The meetups will be held online and will include 6 one and a half hours sessions that will be given by experienced professionals from the industry. Those are open meetups so you can join one or more sessions as you wish.

Who is this program for:
People with academic or industrial knowledge in machine learning that have a strong theoretical base in Neural Networks but don’t have a clue about NLP.

Schedule:
October 25 – November 29
Sundays, from 8:00 pm to 9:30 pm

Details:

  1. Introduction to NLP - 25.10.20
    By Hila Weisman-Zohar - NLP Algorithm Engineer - Outbrain

  2. Language Structure - 1.11.20
    By Israel Sofer - Data Science Manager - Weissbeerger

  3. Basic linguistics and how deep learning fits in - 8.11.20
    By Uri Goren - Machine Learning Consultant - Argmax

  4. Word2Vec: An Introduction - 15.11.20
    By Shay Palachy - Machine Learning Consultant

  5. How to train an LSTM model to write the next book of Game Of Thrones - 22.11.20
    By Yigal Weinberger - Technical Head of Data Science- ITC

  6. Pre-trained language models: from embeddings to GPT3 - 29.11.20
    By Noa Lubin - Data Scientist - Diagnostic Robotics

Agenda:
🔷 20:00 - Opening words
🔶 20:05 - 21:15 – Main Lecture
🔴 21:15 - 21:30 – Questions

Zoom Link: https://us02web.zoom.us/j/81587521146?pwd=TkZLeU1MY2d5eUpqeTJ5WUJTRHlVUT09

Speaker Language: Hebrew

Notice: This is a recurring event! Check back weekly for new details on the latest lecture

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Big DataNight - NLP #2: Language Structure - Israel Sofer ✔

Language is how people connect with each other.
For almost a century we are trying to understand how people communicate and create a computer that can connect with humans.
Our second Big DataNights NLP meetup will be held online and will cover the basic structure of the human language. We will also understand why context is the biggest challenge, how can we structure the human language as knowledge graph and we will see few examples in exotic languages like Korean and Hebrew.

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