Hi there! I'm a total newbie excited to explore Machine Learning (ML) and Large Language Models (LLMs) but feeling a bit overwhelmed by all the resources out there. I'm looking for guidance on the essential foundational concepts I should focus on first, a realistic roadmap to follow as a beginner, and any recommended resources like courses, books, or projects that would help me get started. Thanks in advance!
3 Answers
You should definitely explore Scikit-learn's documentation; it's a great resource. Also, NeuralNine on YouTube has some awesome content to help you understand the libraries. Python basics are a must as a prerequisite.
You might find this YouTube playlist helpful! It covers various aspects of ML to get you started. Just keep in mind that not all resources will map out a direct roadmap, so be strategic about your learning.
I recommend starting with the basics of Python first, especially since it's a critical language for ML. Once you have that down, check out Andrew Ng's Machine Learning course on Coursera. It's a solid foundation before diving into LLMs, as getting those fundamentals right is key for your progress. Good luck!
Just a heads up, that playlist might not provide a step-by-step roadmap.