This repository contains material from the Data Science & Machine Learning Collaborative Learning Meetup Group. We currently meet on the second and fourth Tuesday evenings of each month.
We are a dedicated group of learners who convene regularly, typically on a monthly basis, to explore and discuss our shared interests in data science, technology, and the sciences. We collaboratively select study materials and engage in in-depth study sessions to enhance our understanding and support continuous professional development. Anyone interested in these fields is welcome to join us in our pursuit of continuous learning and development.
Books covered:
- Deep Learning with Python 2nd Edition by François Chollet
- Build a Large Language Model (From Scratch) by Sebastian Raschka
Courses covered:
Topics covered:
- Supervised Machine Learning
- Unsupervised Machine Learning
- Self-supervised Machine Learning
- Natural Language Processing
- Deep Learning
- Statistical Learning with Applications
- Big data tools such as Spark and Hadoop
- Data analysis in Python, R, and SQL. Also, functionality in Julia.
- Large Language Models