About • Workshop Details • Prerequisites • Contact Us
Get ready to experience the ultimate thrill! ENVISION, Our first-ever event is here to ignite your passion and make you part of something big. From cutting-edge presentations to hands-on workshops, this is the ultimate opportunity to take your skills to the next level. Join us for a mind-blowing journey into the world of artificial intelligence and machine learning.
What does workshop offer you:
✓ 🤓 Insightful expert speaker sessions
✓ 🤩 Amazing deep learning projects
✓ 📜 Certificate of participation
✓ 🧭 Guidance on career opportunities in AI/ML
Quark is a technical club whose mission is to educate members about new emerging technologies in the industry and develop a passion for technology. We believe that innovation happens when a variety of individuals with diverse points of view collaborate to create ideas. Every member of our club will be encouraged to learn about different technologies with complete independence and flexibility.
Our AI/ML Workshop will be a multiple day event, where you will get to learn about the basics of AI/ML, its applications in the industry, and hands-on experience in building machine learning models as also their deployment on various platforms. The workshop will cover the following topics:
- 🤖 Introduction to AI/ML
- 🧠 Deep Learning
- 💬 Natural Language Processing (NLP)
- 🕵️ Hands on projects
The following are the prerequisites for attending the workshop:
- 🐍 Basic knowledge of programming languages such as Python
- 💻 A laptop with a stable internet connection
If you have any queries regarding the workshop or our club, feel free to contact us:
- Github: https://github.com/TeamQuarkVIT
- Website: https://www.teamquark.com/
- LinkedIn: https://www.linkedin.com/company/teamquark/
Here are some resources that might help you prepare for the workshop and deploy your AI/ML models:
- Python documentation
- Scikit-learn documentation
- Keras documentation
- TensorFlow documentation
- PyTorch documentation
- Natural Language Toolkit (NLTK) documentation
We also recommend checking out the following books:
- Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
- Deep Learning with Python by François Chollet
- Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
We also recommend checking out the following tutorials:
- Deploying a Machine Learning Model as a Web Application on Heroku
- How to Deploy a Machine Learning Model to Google Cloud Platform
We also recommend checking out the following tutorials: