MLDA@EEE Official Channel
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🌟Stay tuned for more events from MLDA@EEE!πŸ€–
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Do remember to sign up for the Insider Series: OCBC Bank's AI Transformation, Applications, and Future Prospects

RSVP Here ‼️‼️‼️

Date : 30th October 2023
Time : 7 PM - 9 PM
Location : LHN-TR-04 (The ARC)
Deadline: 23:59 Sun 29th Oct
Do remember to sign up for the Learnova Workshop 6 : Deep Learning Part 2/3

RSVP Here ‼️‼️‼️

Date : 1st November 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Tue 31 Oct
We are excited to announce that the subcommittee recruitment for Deep Learning Week 2024 is now open! ✨

 
Key Information for Interview:
β€’ Interview Format: Online πŸ’»
β€’ Interview Timing: Available time slots are provided in the application form
β€’ Application Deadline: 3rd November 2023 (Friday, 2359)
β€’ Submit your application here !
 
Portfolios available for recruitment: 
β€’ Academics πŸ“™
β€’ Branding and Marketing ✨
β€’ Operations βš’

Key Information for DLW 2024:
β€’ Expected Date: Semester 2 Recess Week
β€’ Event Format: Physical
β€’ Duration: 5 - 6 Days
β€’ For DLW updates, check out our Instagram page here!

We eagerly anticipate your applications. If you have any questions or require additional information, please do not hesitate to contact us via email (ananya018@e.ntu.edu.sg) or telegram (@ananya_0604). Your enthusiasm and dedication are crucial to making Deep Learning Week 2024 a resounding success! πŸŽ‰
Are you passionate about energy and sustainability? Do you have the agility to strive for high quality performance and take part in cutting-edge innovative solutions? If so, SP Group invites you to apply for our Jan to Jun 2024 internship programme.

Join us on a rewarding internship and be exposed to different aspects of our organisation, acquire practical skills through on-the-job training and build technical expertise by learning from dedicated mentors!

Feel free to contact us at internship@spgroup.com.sg if you have queries. #EmpoweringtheFutureofEnergy
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Hello EEE/IEM Students, πŸ‘‹πŸ‘‹
In this workshop of LEARNOVA Series, we will build upon the knowledge from previous sessions, aiming to consolidate and expand our understanding of key concepts. We will dive deeper into the world of GPUs, TPUs, and DPUs. Additionally, we will clarify the intricacies of floating-point arithmetic and its importance in numerical computation. Lastly, we will explore automatic differentiation (Autograd) and TensorFlow equivalents of the concepts covered in previous workshops, facilitating a seamless transition for those familiar with other frameworks. Don't miss out! πŸ’― RSVP HERE
Do remember to sign up for the Learnova Workshop 7 : Deep Learning Part 3/3

RSVP Here ‼️‼️‼️

Date : 8th November 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Tue 7th Nov
Hello EEE/IEM Students, 🀩
MLDA@EEE is excited to announce that we will be hosting a comprehensive review session for the IE0005 course, "Reinforcement Learning and Search." This review will provide a valuable opportunity for you to consolidate your knowledge and prepare for upcoming assessments. πŸ€–

We encourage students to attend and participate in this review session which will be on November 15th. Don't miss this opportunity to embark on an educational journey with MLDA@EEE!

RSVP Here πŸ’―
Hello EEE/IEM Students, 🀩
MLDA@EEE is excited to announce that we will be hosting a comprehensive review session for the IE0005 course, "Reinforcement Learning and Search." This review will provide a valuable opportunity for you to consolidate your knowledge and prepare for upcoming assessments. πŸ€–

We encourage students to attend and participate in this review session which will be on November 15th. Don't miss this opportunity to embark on an educational journey with MLDA@EEE!

(Please take note of the change in location!)

RSVP Here πŸ’―
🌐 CREATE YOUR OWN AI CHATBOT 🌐

We are thrilled to extend an exclusive invitation to you for a workshop delving into the intricacies of navigating the Large Language Model and crafting your very own AI chatbot!

πŸ“… Date: 15th December 2023
πŸ•’ Time: 1PM – 3PM
πŸ“ Venue: Online

πŸŽ‰ What's in Store?
Prepare yourself for an enriching experience filled with innovation, inspiration, knowledge, and pure technological magic!

Our agenda includes:
πŸš€ Keynote Speakers from Databricks, sharing insights on using Databricks tools.
πŸ€– Tech Demos: Gain exclusive hands-on experience in building your own chatbot.
🎁 Goodies Galore: Seize the opportunity to win exciting prizes!

🌟 Why Attend?
Participate to unleash innovation, network with industry leaders, and actively contribute to shaping the future of AI.

🎫 Limited Spots - RSVP Now!
Register here by 10th December to secure your spot and create your own AI Chatbot!
πŸŽ‰3
Dear Students,

MLDA@EEE Club is excited to bring to you Deep Learning Week 2024, a flagship event that promises to be a celebration of innovation, collaboration, and cutting-edge technology.

Event Details:

Expected Date: Semester 2 Recess Week (4th March 2024 - 8th March 2024)
Event Format: Physical
Duration: 5 Days


As we gear up for this hackathon, we believe it's crucial to tailor the event to your interests and passions.

By participating in this survey, you will play a vital role in shaping the content and direction of Deep Learning Week. Your input will help us create an event that is not only informative and educational but also highly interactive and inclusive.

Please fill in the interest form here by 27th December 2023!

Thank you for your participation, and we look forward to seeing you at Deep Learning Week for an inspiring and enriching experience!
Dear Students,

MLDA@EEE Club is excited to bring to you Deep Learning Week 2024, a flagship event that promises to be a celebration of innovation, collaboration, and cutting-edge technology.

Event Details:

Expected Date: Semester 2 Recess Week (4th March 2024 - 8th March 2024)
Event Format: Physical
Duration: 5 Days


As we gear up for this hackathon, we believe it's crucial to tailor the event to your interests and passions.

By participating in this survey, you will play a vital role in shaping the content and direction of Deep Learning Week. Your input will help us create an event that is not only informative and educational but also highly interactive and inclusive.

Please fill in the interest form here by 27th December 2023!

Thank you for your participation, and we look forward to seeing you at Deep Learning Week for an inspiring and enriching experience!
We are excited to announce that the subcommittee recruitment for Deep Learning Week 2024 is now open! ✨

Key Information for Interview:
β€’ Interview Format: Online πŸ’»
β€’ Interview Timing: Available time slots are provided in the application form
β€’ Application Deadline: 14th January 2024 (Sunday, 2359)
β€’ Submit your application here !
 
Portfolios available for recruitment: 
β€’ Academics πŸ“™
β€’ Branding and Marketing ✨
β€’ Operations βš’

Key Information for DLW 2024:
β€’ Expected Date: Semester 2 Recess Week
β€’ Event Format: Physical
β€’ Duration: 5 - 6 Days
β€’ For DLW updates, check out our Instagram page here!
β€’ WSS will be provided for the organising committee members!

We eagerly anticipate your applications. If you have any questions or require additional information, please do not hesitate to contact us via email (ananya018@e.ntu.edu.sg) or telegram (@ananya_0604). Your enthusiasm and dedication are crucial to making Deep Learning Week 2024 a resounding success! πŸŽ‰
Greetings LEARNOVA participants,
 
We hope that you had a great holiday and are ready for the new semester! MLDA Academics Team has been preparing interesting activities for semester 2! The details are in the form below.

Please fill in the form HERE by the end of Week 1 (21 Jan) so that we can help you better πŸ”₯
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πŸ‘‹Hello NTU students!!!πŸ‘‹

🀩We are thrilled to announce the upcoming Deep Learning Week (DLW) 2024: Changing Industry Landscapes with AI, a hackathon organized by MLDA@EEE club. This year, DLW proudly unfurls its theme, πŸ’‘"Changing Industry Landscapes with AI."πŸ’‘As stewards of the technological future, our collective goal is to not only raise awareness but to cultivate a profound interest in AI within the vibrant communities of NTU and our neighbouring universities🀩

πŸš€Join us in this transformative celebration to forge connections that transcend academic boundaries, where curiosity meets capabilityπŸš€

πŸ—“οΈSign up now via this LINK by 10th February and stay tuned for more information!!!πŸ—“οΈ

✨Event Details:✨

β€’ Name: Deep Learning Week (DLW)
β€’ Organizer: Machine Learning & Data Analytics (MLDA) Club @ NTU
β€’ Date: 5-day event during Semester 2 Recess Week (4th March 2024 - 8th March 2024)
β€’ Location: Nanyang Technological University (NTU)
Greetings EEE/IEM/SCSE students

MLDA Academics has great plans for the LEARNOVA workshop series semester 2! There will be 2 specialized tracks: Computer Vision (CV) and Natural Language Processing (NLP) each containing 3 workshops. We will have 2 workshops per week, spanning 3 weeks: Week 3, Week 4, Week 6; so that they will not interfere with your workload near and after recess week! Slides, Codes and Recordings will be available if you sign up!
 
Introduction to Computer Vision
 
Description:
β€’ Image manipulation and processing with OpenCV (Python)
β€’ Hands-on with pretrained ML model from mediapipe python library

Register Here!
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Greetings EEE/IEM/SCSE students

MLDA Academics has great plans for the LEARNOVA workshop series semester 2! There will be 2 specialized tracks: Computer Vision (CV) and Natural Language Processing (NLP) each containing 3 workshops. We will have 2 workshops per week, spanning 3 weeks: Week 3, Week 4, Week 6; so that they will not interfere with your workload near and after recess week! Slides, Codes and Recordings will be available if you sign up!
 
Introduction to Natural Language Processing
Description:

β€’ Text representation and embeddings: bag of words, word2vec
β€’ Recurrent Neural Network architecture

Register Here!
Greetings EEE/IEM/SCSE students

Following the introductory workshops, MLDA Academics presents to you the next set of workshops in Week 4. We will be looking under the hood of the deep learning training pipeline to appreciate how these models can be so effective!
 
CV Workshop: Fine Tuning, Transfer Learning

Description:
β€’ Understand why fine tuning matters (in both CV and NLP)
Hands-on with transfer learning CNN 

Register Here!
Greetings EEE/IEM/SCSE students

Following the introductory workshops, MLDA Academics presents to you the next set of workshops in Week 4. We will be looking under the hood of the deep learning training pipeline to appreciate how these models can be so effective!

NLP Workshop: Transformer
Description:
β€’ Understand transformer 
β€’ And where to find them : Hugging face πŸ€—

Register Here!
Greetings EEE/IEM/SCSE students

We hope you had a great Lunar New Year celebration! After learning about the Transformer architecture and the importance of Fine-tuning, we have a good grasp on the deep learning pipeline and workflow. Next up in Week 6, we will be looking into the state-of-the-art techniques and models before you get all busy with school assignments! 
For the LEARNOVA participants, after this round of workshops, we will be starting our capstone project phase, allowing you to solidify the knowledge that you have learned throughout the journey!

Workshop 12: Detection & Segmentation
Description:
β€’ Understand segmentation, detection workflow
β€’ Try out YOLO and SAM

Register Here!