Resources to understand machine learning in depth

In this section, we will provide resources to better understand ML in depth and get better at creating software making use of ML algorithms.

The following are resources that can be used to understand ML:

• fastai (https://www.fast.ai/): This community provides courses, frameworks, and books for ML practitioners.
• Cs231n (http://cs231n.stanford.edu/): This course gives the fundamentals of deep learning and introduces you to computer vision.
• Hugging Face: Hugging Face provides the best framework for natural language processing and different transformer models. It also has a course (https://huggingface.co/course/chapter1) that provides a full detail of transformer models and deployment.
• Andrew Ng course: A ML course on YouTube that also provides full ML details.

There are tons of available materials to learn about ML online. Just follow one path and follow it to the end and avoid jumping from one lecture to another...