Motivation and pre-requisitesJeffrey LeekJohns Hopkins Bloomberg School of Public Health

About this courseThiscoursecoversthebasicideasbehindmachinelearning/prediction

Whatthiscoursedependson

Whatwouldbeuseful

Studydesigntrainingvs.testsets

Conceptualissuesoutofsampleerror,ROCcurves

Practicalimplementationthecaretpackage

TheDataScientist'sToolbox

RProgramming

Exploratoryanalysis

ReportingDataandReproducibleResearch

Regressionmodels

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Who predicts?Localgovernments>pensionpayments

Google>whetheryouwillclickonanad

Amazon>whatmoviesyouwillwatch

Insurancecompanies>whatyourriskofdeathis

JohnsHopkins>whowillsucceedintheirprograms

3/11

Why predict? Glory!

http://www.zimbio.com/photos/Chris+Volinsky

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Why predict? Riches!

http://www.heritagehealthprize.com/c/hhp

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Why predict? For sport!

http://www.kaggle.com/

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Why predict? To save lives!

http://www.oncotypedx.com/enUS/Home

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A useful (if a bit advanced) book

Theelementsofstatisticallearning

8/11

A useful package

http://caret.rforge.rproject.org/

9/11

Machine learning (more advanced material)

https://www.coursera.org/course/ml

10/11

Even more resourcesListofmachinelearningresourcesonQuora

ListofmachinelearningresourcesfromScience

AdvancednotesfromMITopencourseware

AdvancednotesfromCMU

Kagglemachinelearningcompetitions

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