My definition of a true leadership - A chieftain and A book

Machine Learning is to me is the transcendentalization of my combined passion toward Software Engineering and Data Analytics. While Artificial Intelligence (AI) is a broad field encompassing the creation of machines that can perform tasks that typically require human intelligence, Machine Learning (ML) is a specific subset of AI focused on enabling machines to learn from data. Given that distinction, this posts is NOT about AI, but Machine Learning in general.

I was having trouble studying RNN as the starting-point topic of ML and, after descent amount of trouble with understanding its concepts, realized that having a solid understanding to it's roots, i.e. Neural Networks, is a prerequisite.

I was reading the Foreword section of the book "Natural Language Processing with Transformers, Revised Edition" and stumbled upon this paper "Attention is All You Need". "Recurrent neural networks" popped out as the very first words in the paper's introduction. This was why I draw my attention to the topics RNN and, hence, this blog.

People who are interested in Philosophy but not a Philosophy major doesn't like the overly complicated style of writing where everything is symbolic or metaphorical and have to dig for the meaning instead of it just being clearly stated. For example, reading Newton's principia feels struggling for really understanding the work not because the ideas in it are too complicated, but because reaching the ideas feels like going through a maze of unnecessary jargon to reach them, and by the time one has made it through all that, people become too mentally drained to even digest what they're really saying. Is there anything wrong?

Reading Notes of "A Treatise of Human Nature"

OAuth2 is NOT authentication. OAuth2 is NOT authentication. OAuth2 is NOT authentication.