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Hello and welcome to our wiki! This wiki is designed as a comprehensive guide for students and members of the Nittany AI Student Society interested in diving into the world of Machine Learning (ML) and Artificial Intelligence (AI) development.

Explore, Learn, Innovate

Whether you're taking your first steps into AI or looking to deepen your existing knowledge, our wiki is here to support your journey. Here's what you can expect to find:

🚀 Getting Started Guides

Begin your journey with our tailored guides that introduce you to the basics of AI and ML. Learn about the fundamental concepts, tools, and languages that will set you up for success.

🛠️ Tutorials and How-Tos

Dive deeper with our practical tutorials that cover a wide range of topics, from data preprocessing to neural network design. Each tutorial is designed to provide hands-on experience and deepen your understanding of AI development.

📚 Resource Library

Access a curated list of resources, including books, online courses, and research papers that have been vetted by our community. These resources cater to all levels, ensuring you can find material that matches your skill level and interests.

💡 Project Showcase

Be inspired by the innovative projects undertaken by fellow community members. These showcases provide insights into the application of AI and ML in real-world scenarios, offering inspiration and learning opportunities for your own projects.

🤝 Community Support

Join discussions, ask questions, and connect with other AI enthusiasts. Our community is a welcoming space for sharing knowledge, collaborating on projects, and networking with peers who share your interests.

Contributing to the Wiki

This wiki is a collaborative effort, and your contributions are what make it great! Whether it's sharing a new resource, writing a tutorial, or correcting a typo, your input is invaluable. Check out our contribution guidelines to get started.