Study Mat. statistics in the context of "machine learning". In many courses and tutorials that I come across, mention only the method used or the criterion (from the books I looked through at least five with the words, "Mat. statistics" in the title of the topics on the toaster at least Recommend a math book?
and How to understand math and statistics?
Examples of common concepts: RSS (residual sum of squares), gradient descent, logistic regression etc
With RSS, I figured out via video on khanacademy, on the descent I found a good explanation on the channel
"Artificial Intelligence and Machine Learning". But until they are found... and how many more of those ahead. Quite tedious to look for work.
Tell me, please, resource, book, blogs, where is the conclusion meet formulas.