I have these issues in mind. The way i'm intending to solve them is via the self-publishing model. I have written large works before (including non-public books

I have these issues in mind. The way i'm intending to solve them is via the self-publishing model. I have written large works before (including non-public books on Scala, R and effectively a couple textbooks on data science). What I'm aiming to do here is cautiously acquire a minor second income stream by taking a lot of my already well-formed thoughts on various areas, and create small and cheap PDFs that a few people would be interested in reading. I am very wary about "When Machine Learning Fails" as that feels like one of those magnum-opus books that takes years to write and a mental breakdown to finish. If I were to do that, I'd probably release a first chapter and mid-chapter as drafts to gauge interest. The first chapter would be a lighlty mathematical theory of learning & philosophy discussion, which should polarise enough people into like/dislike -- and a mid-section chapter would be a semi-math. semi-prog. case study popular write up of, probably, an academic paper.