medwatt OP t1_j8xlq1b wrote on February 17, 2023 at 5:55 PM

Reply to comment by Academic-Poetry in [D] Short survey of optimization methods by medwatt

Thanks for the recommendation, but that's a very long book.

TeamRocketsSecretary t1_j8ywdem wrote on February 17, 2023 at 11:04 PM

Lol dude you wanna learn optimization, the details and length are what make the subject. If you want a high level overview look at a blog post. At the very least find an online offering of an optimization course with lecture videos and watch those and read the slides if you can’t be bothered to open a textbook.

All these low effort posts in this sub about people just looking to cut corners are depressing.

medwatt OP t1_j8yxl3j wrote on February 17, 2023 at 11:13 PM

I'm neither a mathematician nor a computer scientist by trade. I don't have the need nor the time to go through the nitty gritty details of optimization theory. All I need is an overview of the main ideas in this field. Think of it like knowing how to use a limit without the need to go through the epsilon-delta definition. Hope my reply didn't offend your ego.

TeamRocketsSecretary t1_j8z7pqs wrote on February 18, 2023 at 12:29 AM

Given your reply I’m unsure of why you would want be able to follow the proofs then?

Some of the proofs in optimization are particularly rough so if you want to understand them the only way to is to wade through a book or the very least online lecture videos + slides.

Ulfgardleo t1_j92cwoy wrote on February 18, 2023 at 6:30 PM

optimisation is a the worst field to skip the nitty gritty details. Optimisation is all about details.

your question is unspecified. "optimisation" in ML is a very different beast than optimisation in the math sense.