Hello IEM/EEE Students,
The 2️⃣ workshop in the LEARNOVA series covers the fundamentals of Python as an interpreted language, encompassing topics such as data types, variables, conditionals, loops, functions, and classes. The workshop delves into algorithm analysis and time complexity theory, essential for understanding efficient coding practices. Participants will also receive an overview of data science libraries. The workshop introduces version control using GitHub, including cloning, committing, pushing, and pulling code, along with guidance on setting up the GitHub desktop app. Jupyter notebooks are explored, with instructions on setup, navigation, kernel management, troubleshooting, and the use of %magic commands. The workshop concludes by guiding participants to clone a shared repository for hands-on coding activities. See you at the workshop! 🤩🤩 RSVP Here
The 2️⃣ workshop in the LEARNOVA series covers the fundamentals of Python as an interpreted language, encompassing topics such as data types, variables, conditionals, loops, functions, and classes. The workshop delves into algorithm analysis and time complexity theory, essential for understanding efficient coding practices. Participants will also receive an overview of data science libraries. The workshop introduces version control using GitHub, including cloning, committing, pushing, and pulling code, along with guidance on setting up the GitHub desktop app. Jupyter notebooks are explored, with instructions on setup, navigation, kernel management, troubleshooting, and the use of %magic commands. The workshop concludes by guiding participants to clone a shared repository for hands-on coding activities. See you at the workshop! 🤩🤩 RSVP Here
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Do remember to sign up for the upcoming Insider Series Workshop with QuantumBlack tomorrow!!
Signups close tonight!!
Register here!
Date : 12th September 2023
Time : 7 PM – 8:30 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline : 11th September 2023 23:59
Signups close tonight!!
Register here!
Date : 12th September 2023
Time : 7 PM – 8:30 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline : 11th September 2023 23:59
MLDA@EEE Official Channel
Do remember to sign up for the upcoming Insider Series Workshop with QuantumBlack tomorrow!! Signups close tonight!! Register here! Date : 12th September 2023 Time : 7 PM – 8:30 PM Location : MLDA@EEE (S2.1-B4-01) Deadline : 11th September 2023 23:59
Heyy guys!!! The QuantumBlack workshop is starting soon! Please make your way down to the MLDA Lab to attend the workshop and learn more!!🤩
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Do remember to sign up for the Learnova Workshop 2: Introduction to Python, Jupyter Notebook and Git Version Control!
RSVP Here!
Date : 14th September 2023
Time : 7 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Wed 13 Sep
RSVP Here!
Date : 14th September 2023
Time : 7 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Wed 13 Sep
Hey Students!
We're thrilled to introduce you to the Sleep States Detection competition, a prestigious international data science and AI competition sponsored by the Child Mind Institute.
This prestigious event is your opportunity to build your profile and gain a competitive edge in the field of artificial intelligence and data analytics.
Here's what you need to know:
⏳Duration: 3 months competition (Sep - Dec 23).
💰Prize Money: US $50,000!
📅 Recognition: Competing and winning an international ML competition against the world's very best in the domain.
⚡Focus: Create effective machine learning algorithms to boost research in the study of healthy sleep.
🎓Eligibility: Any student matriculated in NTU.
🔥This competition is recognised as a MLDA@EEE Tier 1 competition, granting you GPU access and funding for groundbreaking research and development.
You can refer to more info on the Tiering system inside the MLDA@EEE Project Guideline HERE
Learn more about the competition here.
Embark on your journey to shape the future of AI.
Registration closes on 21 September. Register NOW!
If you have any questions, please contact @shikharr_jain through telegram!
We're thrilled to introduce you to the Sleep States Detection competition, a prestigious international data science and AI competition sponsored by the Child Mind Institute.
This prestigious event is your opportunity to build your profile and gain a competitive edge in the field of artificial intelligence and data analytics.
Here's what you need to know:
⏳Duration: 3 months competition (Sep - Dec 23).
💰Prize Money: US $50,000!
📅 Recognition: Competing and winning an international ML competition against the world's very best in the domain.
⚡Focus: Create effective machine learning algorithms to boost research in the study of healthy sleep.
🎓Eligibility: Any student matriculated in NTU.
🔥This competition is recognised as a MLDA@EEE Tier 1 competition, granting you GPU access and funding for groundbreaking research and development.
You can refer to more info on the Tiering system inside the MLDA@EEE Project Guideline HERE
Learn more about the competition here.
Embark on your journey to shape the future of AI.
Registration closes on 21 September. Register NOW!
If you have any questions, please contact @shikharr_jain through telegram!
Google Docs
[2023] PRONOVA Guidelines.docx
Self-proposed Projects MLDA offers an opportunity to apply and expand your knowledge and skills in data science and artificial intelligence through practical, simulated scenarios. Each semester, we open registration for PRONOVA, an MLDA-initiated project…
Hello IEM/EEE Students, 👋👋
The third workshop for Learnova Series will be “Python Libraries for Machine Learning”. 🤩🤩 Join us for an informative session covering the fundamentals of libraries. Delve into essential libraries like Numpy, Pandas, Seaborn (Matplotlib) for data manipulation and visualization. Learn how Scikit-learn powers Data Science, and explore the capabilities of TensorFlow and PyTorch in Machine Learning. Don’t miss this opportunity to embark on an educational journey with MLDA@EEE. 💯💯 See you at the workshop! RSVP Here ‼️‼️‼️
The third workshop for Learnova Series will be “Python Libraries for Machine Learning”. 🤩🤩 Join us for an informative session covering the fundamentals of libraries. Delve into essential libraries like Numpy, Pandas, Seaborn (Matplotlib) for data manipulation and visualization. Learn how Scikit-learn powers Data Science, and explore the capabilities of TensorFlow and PyTorch in Machine Learning. Don’t miss this opportunity to embark on an educational journey with MLDA@EEE. 💯💯 See you at the workshop! RSVP Here ‼️‼️‼️
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Do remember to sign up for the Learnova Workshop 3 : Python Libraries for Machine Learning!
RSVP Here ‼️‼️‼️
Date : 20th September 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Tues 19 Sep
RSVP Here ‼️‼️‼️
Date : 20th September 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Tues 19 Sep
Dear NTU EEE Students,
We are thrilled to announce that applications for the positions of President and Deputy President for Deep Learning Week 2024 are now open! 🎉
Deep Learning Week is an exciting week-long hackathon event organized by MLDA@EEE, designed to empower NTU students with the knowledge and skills needed to dive into the world of deep learning. During this immersive week, participants will collaborate to tackle various challenges, gaining hands-on experience in deep learning and working together to solve complex problems. 🚀
If you are passionate about deep learning and possess strong event organizing skills, we invite you to join the core organizing team for Deep Learning Week! 🤩
Key Information for Interview:
• Interview Format: Online 💻
• Interview Timing: Available timings are attached in the application form
• Application deadline : 28th September 2023 (Friday, 2359)
• Submit your application here 📆
We are thrilled to announce that applications for the positions of President and Deputy President for Deep Learning Week 2024 are now open! 🎉
Deep Learning Week is an exciting week-long hackathon event organized by MLDA@EEE, designed to empower NTU students with the knowledge and skills needed to dive into the world of deep learning. During this immersive week, participants will collaborate to tackle various challenges, gaining hands-on experience in deep learning and working together to solve complex problems. 🚀
If you are passionate about deep learning and possess strong event organizing skills, we invite you to join the core organizing team for Deep Learning Week! 🤩
Key Information for Interview:
• Interview Format: Online 💻
• Interview Timing: Available timings are attached in the application form
• Application deadline : 28th September 2023 (Friday, 2359)
• Submit your application here 📆
Hey Students!
We're thrilled to introduce you to Trading at the Close, a prestigious international data science and AI competition sponsored by Optiver.
This prestigious event is your opportunity to build your profile and gain a competitive edge in the field of artificial intelligence, data analytics, and trading.
Here's what you need to know:
⏳Duration: 3 months competition (Oct - Dec 23).
💰Prize Money: US $100,000!
📅 Recognition: Competing and winning an international ML competition against the world's very best in the domain and recognition from leading global firm Optiver.
⚡Focus: Create effective machine learning algorithms to predict future price movement of US stocks.
🎓Eligibility: Any student matriculated in NTU.
🔥This competition is recognised as a MLDA@EEE Tier 1 competition, granting you GPU access and funding for groundbreaking research and development.
You can refer to more info on the Tiering system inside the MLDA@EEE Project Guideline HERE
Learn more about the competition here.
Embark on your journey to shape the future of AI.
Registration closes on 13 October. Register!
If you have any questions, please contact @shikharr_jain through telegram
We're thrilled to introduce you to Trading at the Close, a prestigious international data science and AI competition sponsored by Optiver.
This prestigious event is your opportunity to build your profile and gain a competitive edge in the field of artificial intelligence, data analytics, and trading.
Here's what you need to know:
⏳Duration: 3 months competition (Oct - Dec 23).
💰Prize Money: US $100,000!
📅 Recognition: Competing and winning an international ML competition against the world's very best in the domain and recognition from leading global firm Optiver.
⚡Focus: Create effective machine learning algorithms to predict future price movement of US stocks.
🎓Eligibility: Any student matriculated in NTU.
🔥This competition is recognised as a MLDA@EEE Tier 1 competition, granting you GPU access and funding for groundbreaking research and development.
You can refer to more info on the Tiering system inside the MLDA@EEE Project Guideline HERE
Learn more about the competition here.
Embark on your journey to shape the future of AI.
Registration closes on 13 October. Register!
If you have any questions, please contact @shikharr_jain through telegram
Google Docs
[2023] PRONOVA Guidelines.docx
Self-proposed Projects MLDA offers an opportunity to apply and expand your knowledge and skills in data science and artificial intelligence through practical, simulated scenarios. Each semester, we open registration for PRONOVA, an MLDA-initiated project…
❗️Important Announcement ❗️
Hi everyone!
We hope you have a good rest during the recess week! In the previous 3 workshops, LEARNOVA members were introduced to the environment setup and the fundamentals of Python.
NOW, the next segment of the LEARNOVA workshop series in the second half of Semester 1 will be about the theory and the fundamentals of Machine Learning and Deep Learning. These concepts are 💥MOST IMPORTANT 💥 in the whole series and are the prerequisites for the specialized tracks in Semester 2!
The upcoming workshops are open to all who are interested!
We are looking forward to your registration and participations!📝
Here are the registration links for all of the planned workshops available in the Handbook. Official announcement and email will be sent in the later date
- Machine Learning : Link
- IE0005 Review (Search, Game Playing, Reinforcement Learning): Link (optional, open to all EEE, held in an LT)
- Deep Learning 1/3 : Link
- Deep Learning 2/3: Link
- Deep Learning 3/3: Link
Hi everyone!
We hope you have a good rest during the recess week! In the previous 3 workshops, LEARNOVA members were introduced to the environment setup and the fundamentals of Python.
NOW, the next segment of the LEARNOVA workshop series in the second half of Semester 1 will be about the theory and the fundamentals of Machine Learning and Deep Learning. These concepts are 💥MOST IMPORTANT 💥 in the whole series and are the prerequisites for the specialized tracks in Semester 2!
The upcoming workshops are open to all who are interested!
We are looking forward to your registration and participations!📝
Here are the registration links for all of the planned workshops available in the Handbook. Official announcement and email will be sent in the later date
- Machine Learning : Link
- IE0005 Review (Search, Game Playing, Reinforcement Learning): Link (optional, open to all EEE, held in an LT)
- Deep Learning 1/3 : Link
- Deep Learning 2/3: Link
- Deep Learning 3/3: Link
Hello IEM/EEE Students, 👋👋
Join us for the fourth workshop in the LEARNOVA series, designed to provide an engaging session on Machine Learning Fundamentals. In this session, we will explore the core concepts of machine learning, including linear regression for predictive modelling, logistic regression for classification tasks, and key metrics like Mean Square Error and Cross Entropy Loss to evaluate model performance. Furthermore, we will go into depth about the essential machine learning workflow. Don't miss out on this opportunity to expand your understanding of machine learning! 💡See you at the workshop! RSVP Here ‼️‼️‼️
Join us for the fourth workshop in the LEARNOVA series, designed to provide an engaging session on Machine Learning Fundamentals. In this session, we will explore the core concepts of machine learning, including linear regression for predictive modelling, logistic regression for classification tasks, and key metrics like Mean Square Error and Cross Entropy Loss to evaluate model performance. Furthermore, we will go into depth about the essential machine learning workflow. Don't miss out on this opportunity to expand your understanding of machine learning! 💡See you at the workshop! RSVP Here ‼️‼️‼️
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Dear students,
We are thrilled to introduce you to the PRONOVA series, an exciting initiative hosted by the MLDA@EEE.
What is PRONOVA?
PRONOVA is a series of projects and competitions that is crafted to improve your understanding and application of MLDA knowledge.
📚Our Focus:
Education through application: PRONOVA is dedicated to educating you about the world of Machine Learning.
Resource Provision: PRONOVA offers financial support, GPU access, and Technical Advisory. We're here to ensure that you have the necessary tools for the journey ahead.
📋 Explore PRONOVA Guidelines: Here
💡 If you have any project ideas, we are happy to explore them. Share your ideas with us here.
If you have any questions, feel free to reach out to Zachary through tele: @ZACTIO
We are thrilled to introduce you to the PRONOVA series, an exciting initiative hosted by the MLDA@EEE.
What is PRONOVA?
PRONOVA is a series of projects and competitions that is crafted to improve your understanding and application of MLDA knowledge.
📚Our Focus:
Education through application: PRONOVA is dedicated to educating you about the world of Machine Learning.
Resource Provision: PRONOVA offers financial support, GPU access, and Technical Advisory. We're here to ensure that you have the necessary tools for the journey ahead.
📋 Explore PRONOVA Guidelines: Here
💡 If you have any project ideas, we are happy to explore them. Share your ideas with us here.
If you have any questions, feel free to reach out to Zachary through tele: @ZACTIO
Hi everyone! Your friendly-neighborhood MLDA Academics Committee here!
These are the updates regarding the arrangement of Machine Learning and Data Analytics (MLDA@EEE) workshops in the up coming weeks!
The 3 Consecutive Deep Learning workshops remain the same from Week 10-12. Details are in the Registration links
- Deep Learning 1/3: Registration Link
- Deep Learning 2/3: Registration Link
- Deep Learning 3/3: Registration Link
The only change is to the following workshop 🔥. It will be held in Week 13, closer to the IE0005 Quiz 2 in Week 14.
- IE0005 Review: Search, Game Playing, Reinforcement Learning: Registration Link
Non-EEE, Non-IE0005 students are encouraged to join to expand your knowledge on non Deep Learning AI and algorithm! We have enough resources to accommodate you all! Do register your interest first!
All registration links for the planned workshops are available in the MLDA Handbook. For MLDA Learnova member, remember to try Quiz 4. Deadline 21 Oct!
These are the updates regarding the arrangement of Machine Learning and Data Analytics (MLDA@EEE) workshops in the up coming weeks!
The 3 Consecutive Deep Learning workshops remain the same from Week 10-12. Details are in the Registration links
- Deep Learning 1/3: Registration Link
- Deep Learning 2/3: Registration Link
- Deep Learning 3/3: Registration Link
The only change is to the following workshop 🔥. It will be held in Week 13, closer to the IE0005 Quiz 2 in Week 14.
- IE0005 Review: Search, Game Playing, Reinforcement Learning: Registration Link
Non-EEE, Non-IE0005 students are encouraged to join to expand your knowledge on non Deep Learning AI and algorithm! We have enough resources to accommodate you all! Do register your interest first!
All registration links for the planned workshops are available in the MLDA Handbook. For MLDA Learnova member, remember to try Quiz 4. Deadline 21 Oct!
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Hello IEM/EEE Students, 👋👋
Dive into the world of deep learning with PyTorch for the 5️⃣ workshop in the LEARNOVA series, where we will explore the fundamentals of tensor operations and gain a solid understanding of neural networks, layers, and activation functions. The workshop will cover the essential concepts of the forward pass and backward propagation, allowing you to grasp the core mechanics of deep learning. Additionally, you'll get hands-on experience working with MNIST dataset. ‼️‼️ RSVP Here
Dive into the world of deep learning with PyTorch for the 5️⃣ workshop in the LEARNOVA series, where we will explore the fundamentals of tensor operations and gain a solid understanding of neural networks, layers, and activation functions. The workshop will cover the essential concepts of the forward pass and backward propagation, allowing you to grasp the core mechanics of deep learning. Additionally, you'll get hands-on experience working with MNIST dataset. ‼️‼️ RSVP Here
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Do remember to sign up for the Learnova Workshop 5 : Deep Learning Part 1/3
RSVP Here ‼️‼️‼️
Date : 24th October 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Mon 23 Oct
RSVP Here ‼️‼️‼️
Date : 24th October 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Mon 23 Oct
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Hello NTU students! 👋👋
We are excited to invite you to a workshop that offers a unique insight into the AI transformation journey at OCBC Bank and the innovative practices at OCBC AI Lab.
OCBC AI Lab has grown from a team of a few data scientists in 2018 to a centre of excellence with close to 100 data professionals within 5 years. This workshop will be introducing the transformation journey of OCBC AI Lab and the AI practices at OCBC Bank.
Don't miss this opportunity to embark on an educational journey with MLDA@EEE. Light refreshments will also be provided. See you at the event! Register Here! 🤩🎉
We are excited to invite you to a workshop that offers a unique insight into the AI transformation journey at OCBC Bank and the innovative practices at OCBC AI Lab.
OCBC AI Lab has grown from a team of a few data scientists in 2018 to a centre of excellence with close to 100 data professionals within 5 years. This workshop will be introducing the transformation journey of OCBC AI Lab and the AI practices at OCBC Bank.
Don't miss this opportunity to embark on an educational journey with MLDA@EEE. Light refreshments will also be provided. See you at the event! Register Here! 🤩🎉
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Hello IEM/EEE Students, 👋👋
In this workshop of the LEARNOVA series, we'll cover key aspects of deep learning, starting with the crucial step of Data Preparation to ensure the models have a solid foundation. We'll also go into addressing Bias, optimizing models with various algorithms through the Optimizer, and understanding the Training Process. Additionally, we'll explore Layer Architecture to design neural networks tailored to specific tasks. Don't miss out! 💯 RSVP HERE
In this workshop of the LEARNOVA series, we'll cover key aspects of deep learning, starting with the crucial step of Data Preparation to ensure the models have a solid foundation. We'll also go into addressing Bias, optimizing models with various algorithms through the Optimizer, and understanding the Training Process. Additionally, we'll explore Layer Architecture to design neural networks tailored to specific tasks. Don't miss out! 💯 RSVP HERE
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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
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
RSVP Here ‼️‼️‼️
Date : 1st November 2023
Time : 7 PM - 9 PM
Location : MLDA@EEE (S2.1-B4-01)
Deadline: 23:59 Tue 31 Oct