/sci/ - Science & Math » Thread #11385714

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Is this a good book?

Anonymous Sat 15 Feb 00:08:18 2020 No.11385714 View Reply Original Report

Quoted By: >>11385719 >>11386557 >>11387009 >>11387030 >>11388451 >>11389007 >>11389027

I'm studying machine learning right now and I'm thinking of reading it

Anonymous

Anonymous Sat 15 Feb 2020 00:09:53 No.11385719 Report

Quoted By:

>>11385714
yes, very good intro book. the thing with ml as you know is there are so many resources out there. you kinda don't need a book.

Anonymous

Anonymous Sat 15 Feb 2020 06:23:11 No.11386557 Report

Quoted By:

>>11385714
I took a class where this and elements of statistical learning were the required books. It was ok.

Anonymous

Anonymous Sat 15 Feb 2020 11:55:14 No.11387009 Report

Quoted By:

>>11385714
>Is this a good book?
Why don't you read it and find out?

Elder NPC

Elder NPC Sat 15 Feb 2020 12:10:35 No.11387030 Report

Quoted By:

>>11385714
How is machine learning not the most automatable thing for real-world teachers to be replaced by with A.I.?

Anonymous

Anonymous Sat 15 Feb 2020 12:48:56 No.11387107 Report

Quoted By: >>11387130 >>11387212 >>11388436 >>11389776

what's the difference between machine learning and statistical learning?

Anonymous

Anonymous Sat 15 Feb 2020 13:07:31 No.11387130 Report

Quoted By:

>>11387107
Don't know, seems nothing. Someone recc me a book that goes over the mathematics so I can btfo MLfaggots who think the singularity is near when all that's happened is an increase in computational power made viable large data analysis and thus made non parametric statistics a thing

Anonymous

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Anonymous Sat 15 Feb 2020 13:59:57 No.11387212 Report

Quoted By: >>11388665 >>11388793

>>11387107

Anonymous

Anonymous Sun 16 Feb 2020 00:07:21 No.11388436 Report

Quoted By:

>>11387107
Up

Anonymous

Anonymous Sun 16 Feb 2020 00:15:49 No.11388451 Report

Quoted By: >>11388617

>>11385714
Why are there still people studying shit through books in 2020?
Just read the fucking papers and implement shit.
This is especially relevant in areas like ML.

Anonymous

Anonymous Sun 16 Feb 2020 01:30:34 No.11388613 Report

Quoted By:

yeah, i've read it front to back. it's pretty good.

Anonymous

Anonymous Sun 16 Feb 2020 01:31:36 No.11388617 Report

Quoted By:

>>11388451

papers suck donkey balls. just chinamen and other careerists trying to self-promote

Anonymous

Anonymous Sun 16 Feb 2020 01:41:57 No.11388648 Report

Quoted By:

i mean, there are plenty of good papers. but the average paper is terrible and not worth your time.

Anonymous

Anonymous Sun 16 Feb 2020 01:46:51 No.11388665 Report

Quoted By:

>>11387212
me on the bottom.

Anonymous

Anonymous Sun 16 Feb 2020 02:34:25 No.11388793 Report

Quoted By:

>>11387212
>handpicking kernels
not gonna make it

Anonymous

Anonymous Sun 16 Feb 2020 04:34:24 No.11389007 Report

Quoted By:

>>11385714

define "good"

He is not a part of the Bourbaki group and for some it is good and for some bad. Do you want a bigoted racist, homophobic and mysoginist answer?

Anonymous

Anonymous Sun 16 Feb 2020 04:54:53 No.11389027 Report

Quoted By: >>11389036

>>11385714
It is not too bad but the explanations are often fairly unclear. Also there is too much "let's approximate this with Gaussians" and by too much I mean far too much.

Anonymous

Anonymous Sun 16 Feb 2020 05:04:42 No.11389036 Report

Quoted By:

>>11389027
>there is too much "let's approximate this with Gaussians"
welcome to computing anything

Anonymous

Anonymous Sun 16 Feb 2020 13:37:01 No.11389776 Report

Quoted By:

>>11387107
One successively improves its predictions until a model which correctly fits the data is formed, and the other is machine learning.

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