ML Track Session 4 ( Natural Language Processing )

Natural Language Processing

Sep 18, 2021, 6:30 – 8:30 PM

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Key Themes

Machine Learning

About this event

Scroll down for English 👇

مساء النور يا مُحبي التكنولوجيا 😃✨

الـسيشن اللي جاية هيكون معانا

الباشمهندس/ مازن السيد، حاليًا هو:

🔹 بيدرس في كلية الهندسة جامعة عين شمس Computer Engineering

🔹 Software Quality Assurance Intern at Mentor Graphics

🔹 Data Analyst Session Lead at Udacity

🔹 LinkedIn Profile:⤵️

https://www.linkedin.com/in/mazen-sayed-440016193/

في السيشن اللي هيقدمهلنا هيكلمنا عن الـ(Natural Language ( NLP Processing

وهيركز على الـ Language Processing Pipelines ودي اللي الـ NLP بيستخدمها عشان يقدر يفهم أي لغة بيتكلم بيها الانسان.

وهيكلمنا عن تطبيقات الـ NLP زي:

🔹 Spam Classification

🔹 Speech Tagging

🔹 Machine Translation

🔹 Image Captioning

وهيكلمنا برضو عن الـ Text Preprocessing وازاي ننضف الداتا بتاعتنا ونخليها جاهزة للـ modeling.

وفي الجزء العملي الخاص بـ Qwiklabs هيكون معانا

الباشمهندس/ محمود محمد ، وحاليًا هو:

🔹 بيدرس في كلية الهندسة قسم ميكاترونكس في الجامعة المصرية الصينية

‏🔹 ML Technical & PR Lead at DSC-ECU

🔹 عضو في EVER Electrical Team

🔹 وهو ش��وف وعنده خبرة في مجالين الـ Automotive والـ Embedded Systems

🔹His LinkedIn Profile:⤵️

https://www.linkedin.com/in/mahmoud-mahamed-51a99a189/

وهيشرحلنا خطوة بخطوة وهيشتغل معانا في الـ Quest اللي اسمها Create ML Models with BigQuery ML

على الـ Lab ده⬇️

‏Predict Taxi Fare with a BigQuery ML Forecasting Model

⚠️ تنبيه: انت كمبتدأ مش محتاج بكون عندك خلفية قوية الكورس معمول للمبتدئين.

➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖

Hey there everyone!

Now, we are going to introduce you to our speaker for the next session!

⚠️ Alert: you don't need have a strong basics you just need to some of enthusiasm.

Eng. Mazen Elsayed 👨🏻‍💻💫

🔹Mazen is a Computer Engineering student at the Faculty of Engineering at Ain Shams University.

🔹 Software Quality Assurance Intern in Mentor Graphics

🔹 Data Analyst Session Lead in Udacity

🔹His LinkedIn profile:⤵️

https://www.linkedin.com/in/mazen-sayed-440016193/

Eng. Mazen will talk with us about Natural Language Processing (NLP), he’ll also talk about Language Processing Pipelines which are used by NLP to help it understand any language spoken by people.

Eng. Mazen will also talk about NLP applications like:

🔹 Spam Classification

🔹 Speech Tagging

🔹 Machine Translation

🔹 Image Captioning

At the end of the session, Eng. Mazen will talk about Text Preprocessing and how to edit and clean our data and make it ready for modeling.

In the practical part of the session we’ll work on Qwiklabs with the guidance of

Eng. Mahmoud Mohamed Mahmoud Samy

🔹 Mahmoud studies Mechatronics Engineering at the Egyptian Chinese University

🔹 ML Support & PR Head at GDSC-ECU

🔹 Member at EVER Electrical Team

🔹 He’s passionate and has experience in the fields of Automotive and Embedded Systems

🔹His LinkedIn Profile:⤵️

https://www.linkedin.com/in/mahmoud-mahamed-51a99a189/

He will walk us step by step through the Lab which is called ⬇️

Predict Taxi Fare with a Big Query ML Forecasting Model

In the Create ML Models with Big Query ML Quest.

There's all the content of our next session, what you are waiting for now? We are waiting for you and your friends✨

Speaker

  • Mazen Sayed

    Ain Shams University

    Data Analyst

Partners

Ain Shams University logo

Ain Shams University

Tebas Academy logo

Tebas Academy

Portsaid University logo

Portsaid University

Future Academy logo

Future Academy

Assiut University logo

Assiut University

Ain Shams University for Engineering logo

Ain Shams University for Engineering

Egyptian Chinese University logo

Egyptian Chinese University

Organizers

  • Paula Boshra Atta

    GDSC Lead

  • Amira Goda

    HR

  • Mahmoud Shaker El-Rifai

    HR specialist

  • Sohaila Sadek

    Marketing Moderator

  • Ahmed Basem

    Content Creator

  • Shereen Saad

    Content Creator

  • ammar elterb

    Graphic Designer

  • ganna mahdy

    Graphic Designer

  • Maya Kamal

    Robotics Facilitator

  • Mohamed magdy

    Robotics Facilitator

  • Fatma Hamouda

    Robotics Facilitator

  • Mina Wael

    Data Science & ML

  • Zyad Wael

    Data Science & ML

  • Rawan fady

    Data Science & ML

  • Marina Safwat

    Data Science & ML

  • Kirolos M Fahem

    ASU

    Flutter

  • Salma Safi

    Flutter

  • Basmalaa Walidbahi

    Podcast

  • Omar Aboalola

    CS 101

  • Abdelhady Hussein

    CS 101

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