Adding machine learning to a web app

Adding machinelearning to a web app Richard Dallaway @d6y

It’s easy, right?1. Get some data2. Find magic stats & algorithms3. Predict the future!

It’s easy, right? that helps solve the problem 1. Get some data frame the problem explore the data 2. Find magic stats & algorithms what’s success? pilot 3. Predict the future!does this help users? behaviour changes? UI impact?

Make it easier forusers to #tag todos

Can we suggest tagsas a task is typed in?

us e f u lCan we suggest tagsas a task is typed in?

Where to start? from “Algorithms of the Intelligent Web”

“Google uses Bayesian filtering the way Microsoft uses the if statement" as told to Joel Spolsky

A contrived example #home 40% #work 60%“windows” “fix” “windows” “fix” 50% 50% 16.6% 83.4% p(#home | “fix”, “windows”) ?

A contrived example #home 40% #work 60% “windows” “fix” “windows” “fix” 50% 50% 16.6% 83.4%p(#home | “fix”) = 40% x 50% (40% x 50%) + (83.4% x 60%) = about 28%

A contrived examplep (#h ome | “f i x ” ) #home 28% #work 72% “windows” “fix” “windows” “fix” 50% 50% 16.6% 83.4% p(#home | “fix”, “windows”) = 28% x 50% (28% x 50%) + (16.6% x 72%) = about 55%

p(C | e) = P(C) x P(e | C) P(e)

p(C | e) = P(C) x P(e | C) P(e)“the estimation of P(e | C) can be viewed as the central issue in designing learning systems. ” — Weiss & Kulikowski “Computer Systems that Learn”

Demo: addsharedo.comwith tag suggestions

results of running the model

It’s easy, right?1. Explore the data2. Frame your problem3. Measure the performance honestly

How to build?Write it yourself?Find a library?Ask Google to do it for you? ...but pilot with offline data first.

www.manning.com40% off with bathcamp40 until August 10th

Questions?or later: @d6y richard@SpiralArm.com

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Adding machine learning to a web app

by Richard Dallaway on Aug 03, 2011

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