# 2019-cycle-1
AI Rwanda aims to be a stdy study group for Artificial Intelligence (AI) co-learning, collaboration and sharing. It aims to be a local community of driven enthusiast and free to attend. Further details on the meetups or how to sign up can be accessed via the AI Rwanda landing page You can join the whatsapp group (access to be coming soon!!) for updates and miscellaneous information.
This repository contains the contents covered in different sessions of AI Rwanda meetups (cycle 1) as well as relevant material for further autonomous or in-group study.
Sessions folder consists of videos, links, notebooks etc that are discussed in the sessions. Resources folder consists of relevant codes, research papers, tutorials, videos etc that will be invaluable for further learning.
roadmap is the study schedule that is followed in the Kigali chapter of AI Rwanda meetups.
## Thanks to these great quality sources:
AI Saturdays Bangalore
AI Saturdays Lagos
AI Boise Materials
**Connect with us:**
- Facebook Group
- Twitter
Workshop Image Gallery (yet to be added!)
# Study and Learning Resources
- Session 0 (September 18, 2019) - Inspired by AI6 Orientation
## Possible "curriculum" to follow in parallel (if curious + have time):
[Carnegie Mellon University Deep Learning youtube channel],
[Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas],
["Learn Machine Learning in 3 Months" by Siraj Raval]
- Session 0 (September 18, 2019)
[link to add] [Preliminary Readings]
- Python, Installation and Environment Setup
- Introduction to Python
- Numpy, Scipy and Matplotlib
[Preliminary Course for 'Elements of AI' introduction to AI]
- Session 2 (date yet to be defined) [link to add] [Preliminary Readings]
- Beginners level tutorial on Numpy
- Beginners level tutorial on Pandas
- Tutorial on Linear Regression (Naive Implementation and Intuition)
- Linera Regression Intuition
- Univariate Linear Regression
- Linear regression using Matrix Mu …