2 ms·
Unfortunately, there is simply too much information in ML, I found that it's not just like learning a new programming language where you can scope it to a certa
by tomerbd 9y ago
Unfortunately, there is simply too much information in ML, I found that it's not just like learning a new programming language where you can scope it to a certain size or amount of studying, the way I try to deal with it is CheatSheets, so I created my own below:
Check out my ML and DataScience CheatSheets here: https://tomer-ben-david.github.io/datascience-cheatsheet https://tomer-ben-david.github.io/datascience-cheatsheet
I have some ML introductory lectures on my YouTube Channel, https://www.youtube.com/channel/UC82zocd7ZWMSHe5uuPT4gSw?view_as=subscriber https://www.youtube.com/channel/UC82zocd7ZWMSHe5uuPT4gSw?vie...
I try to keep all material concise for a clean slate learner.