IEEE BAU 'WIE' Natural language processing Workshop

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A workshop titled "Natural Language Processing" has been announced.

This workshop will focus on introducing participants to the concept of NLP, one of the most important branches of artificial intelligence, and how it can be used as a language in AI applications. The workshop will take place on Saturday, 13/1/2024, from 6 PM to 8 PM on Google Meet.

It will be hosted by network engineer Shahad AlRuwaidan - a computer vision engineer and the chapter lead of Omdena Jordan. 

The workshop will cover several topics:

- Intro to NLP
- Applications and how it works
- Comparison between ChatGPT and BERT


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar
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  • Contact Event Host

  • alryahialaa219@gmail.com / Chair-Woman (Alaa Alryahi)

    baraanahhas003@gmail.com / Vaic-Chair (Baraa Nahhas )

  • Starts 10 January 2024 06:01 PM UTC
  • Ends 12 January 2024 08:01 PM UTC
  • No Admission Charge

  Speakers

Shahed AlRuwaidan of by Mays Alrifae (IEEE-BAU-WIE public Relation )

Topic:

The workshop will cover several topics: - Intro to NLP - Applications and how it works - Comparison between ChatGPT and

Shahed Ziead AlRuwaidan
Data Science | Artificial intelligence github: shahedalrwaidan
Amman-jordan

Linkedin : shahed alruwaidan
phone: 0779905259

email :shahedziead9@GMAIL.COM 

Biography:

Experience :
● Lead omdena jordan chapter (project management ,team management
,workshops )(3-7/2023 )(part time)
● Collaborated as computer vision engineer at omdena company (from 1-2 /2023).
● Internship as machine learning engineer at SHAI company (from Sep to Nov/2022) .➪
Education:
● Training program in data science from beyond limit (content :statistical modeling
,Machine learning,Deep learning,AI for leader business ) (3/2023 -6/2023).
● Bachelor degree of Network Engineering and Security from Jordan University of
Science and Technology .(2017-2023)
Qualifications :
1-Excellent knowledge in programming languages ( python) and OOP.
2-Good knowledge in math and statistical concepts .
3-Good knowledge in data analysis using python, powerBI .
3-Good knowledge in Machine learning algorithms(Decision tree,Random
forest ,K-NN,K-mean,Naïve Bayes,SVM)
4-Good knowledge in Deep learning( Neural Network , Convolution Neural
Networks,RNN).
5-Excellent knowledge in computer vision (Face detection,Object detection,Image
segmentation ).
6-Excellent knowledge in natural language processing (NLP).
7-Good knowledge in Framework django .
7-Familiarity with libraries in python(OpenCV,numpy,pandas
,keras,,matplotlib,mediapip,pytorch ).

Email:

Address:Amman , Jordan




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