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Literature

Literature

Recommended textbook: 

An Introduction to Statistical Learning with Applications in R (Springer, 2013)
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Available online: http://www-bcf.usc.edu/~gareth/ISL/

Additional material (probability lectures):

selected chapters from Computer Vision:  Models, Learning, and Inference Simon J.D. Prince
available online at: http://www.computervisionmodels.com/

Handouts from the lectures will be made available in the schedule; in the range of dates displayed, for example to "Current Semester" instead of "Upcoming".

Atsuto Maki skapade sidan 24 augusti 2015

Lärare Atsuto Maki ändrade rättigheterna 26 augusti 2015

Kan därmed läsas av alla och ändras av lärare.
kommenterade 28 augusti 2015

Will you be posting reading assignments (i.e. what to read prior to each lecture etc)?

Anmäl missbruk
kommenterade 31 augusti 2015

Bump. Please do this a couple of days in advance + slides.

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Lärare kommenterade 31 augusti 2015

In Lecture 1 we will give instructions on it as well as warming-up with Nearest Neighbor classifier (for which no particular reading is required). Welcome to the course!

Anmäl missbruk
kommenterade 1 september 2015

Will you post the suggested chapters online?

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En användare har tagit bort sin kommentar
kommenterade 29 september 2015

I'm reading on wikipedia right now since neither of the course books have anything on artificial neural networks and there still, unbelievably, aren't any reading instructions available on one page (and this is not to say somewhere inside the schedule)

Anmäl missbruk
kommenterade 29 september 2015

I think the schedule is pretty readable, once you find it.

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kommenterade 21 oktober 2015

Is there some reading for lecture 9, on artificial neural networks? The books don't cover this topic and there is nothing mentioned in the schedule. Or do we have to ask our best friend Google?

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Assistent kommenterade 22 oktober 2015

@Michiel Van Der Meijden: examination questions don't go beyond the lectures or a literature recommended at corresponding lectures. For curious,  there is an online introduction to artificial neural networks by Raul Rojas.

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kommenterade 16 augusti 2016

Hey, I wonder if you could publish the Lecture plans? There is no information available.

thank you in advance

Mona

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kommenterade 17 augusti 2016

Hi!

Before they upload the info for this years course, you can go to the schedule and choose to view last years lecture plans with slides and readings. Maybe it's not 100% correct but I don't think it has changed dramatically.

Anmäl missbruk
kommenterade 17 augusti 2016

@Mona Dadoun: Indeed, we don't publish preliminary plan of the forthcoming lectures but you can always check the last year's schedule (thank you, Michael, for reminding us!). Tip: In order to get the slides, go to the KTH Social of the course and change the view range to the last year.

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kommenterade 17 augusti 2016

Thank you both of you!

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