Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Machine Learning Techniques You Can Use Today
Search
Starr Horne
August 03, 2014
Programming
4
190
Machine Learning Techniques You Can Use Today
A broad and shallow introduction to machine learning. Given at Burlington Ruby 2014
Starr Horne
August 03, 2014
Tweet
Share
More Decks by Starr Horne
See All by Starr Horne
Ditching the Single Page Application - Madison+Ruby 2015
snhorne
0
240
Ditching the Single Page Application (RubyNation 2015)
snhorne
1
230
SVG Charts and Graphs With Ruby
snhorne
0
130
SVG Charts and Graphs With Ruby
snhorne
0
340
The short but happy lives of TCP and HTTP requests
snhorne
4
380
Biggish Data with Rails and Postgresql
snhorne
3
880
Other Decks in Programming
See All in Programming
[技育CAMPアカデミア]アイディアを形に!【超入門】スマホアプリ開発〜リリースまでの流れをご紹介
teamlab
PRO
0
380
FigmaとPHPで作る1ミリたりとも表示崩れしない最強の帳票印刷ソリューション
ttskch
43
19k
ONE WEDGE_company_guide
1wedge_one
0
490
AWS Application Composerで始める、 サーバーレスなデータ基盤構築 / 20240406-jawsug-hokuriku-shinkansen
kasacchiful
1
260
大規模UIKitベースアプリへのTCAの段階的導入/gradual-adoption-of-tca-in-a-large-scale-uikit-based-app
takehilo
1
180
Kotlin Multiplatform at Stable and Beyond (Android Makers 2024)
zsmb
0
290
Scalable Customer Journey Orchestration (CJO)
lewuathe
0
340
Rethinking UI building strategies @ SFI 2024
letelete
0
270
educure_カリキュラム生操作マニュアル.pdf
linew_official
0
810
DMMプラットフォームがTiDB Cloudを採用した背景
pospome
8
4.1k
見た目から始める生産性向上
ikumatadokoro
7
850
TYPO3 v13 – The road to LTS: What's new and new APIs
luisasofie_xoxo
0
210
Featured
See All Featured
Agile that works and the tools we love
rasmusluckow
325
20k
The World Runs on Bad Software
bkeepers
PRO
61
6.7k
Automating Front-end Workflow
addyosmani
1356
200k
Atom: Resistance is Futile
akmur
259
25k
Building Better People: How to give real-time feedback that sticks.
wjessup
355
18k
Imperfection Machines: The Place of Print at Facebook
scottboms
260
12k
GraphQLとの向き合い方2022年版
quramy
32
12k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
121
39k
The Language of Interfaces
destraynor
151
23k
Optimising Largest Contentful Paint
csswizardry
8
2.4k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
659
120k
The Straight Up "How To Draw Better" Workshop
denniskardys
227
130k
Transcript
@StarrHorne honeybadger.io MACHINE LEARNING!!!
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io Raw
@StarrHorne honeybadger.io Moving Average
@StarrHorne honeybadger.io LOESS
@StarrHorne honeybadger.io LOESS
@StarrHorne honeybadger.io What else are the scientists hiding?
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io FUN TIME OVER
@StarrHorne honeybadger.io You must ask: What is a cluster?
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io The people must have recommendations
@StarrHorne honeybadger.io Use LSI!
@StarrHorne honeybadger.io Similar Items With LSI & PCA
@StarrHorne honeybadger.io Source: http://www2.denizyuret.com/ref/berry/berry95using.pdf
@StarrHorne honeybadger.io Matrixify it Source: http://www2.denizyuret.com/ref/berry/berry95using.pdf
@StarrHorne honeybadger.io source: www.igvita.com
@StarrHorne honeybadger.io Source: http://www2.denizyuret.com/ref/berry/berry95using.pdf
@StarrHorne honeybadger.io I’m impressed. Can you something about the trolls
now?
@StarrHorne honeybadger.io Sentiment Analysis With Naive Bayesian classifiers
@StarrHorne honeybadger.io “This book made my eyes bleed. Should be
forbidden.” ! SomeGuy48
@StarrHorne honeybadger.io “An amazing story of forbidden love. Best book
ever.” ! Vampyrlovr72
@StarrHorne honeybadger.io { best: { pos: 1, neg: 0 },
bleed: { pos: 0, neg: 1 }, forbidden: { pos: 1, neg: 1 }, ... }
@StarrHorne honeybadger.io “I will love this book forever. It’s the
bloody best.” Pos: 59% > Neg: 38%
@StarrHorne honeybadger.io We need to let the nerds know when
their books are out.
@StarrHorne honeybadger.io A Game of Market Segmentation
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io source: www.igvita.com
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io Build me OCR from scratch. (AND MAKE ME
PANCAKES)
@StarrHorne honeybadger.io BEWARE THE CURSE!
@StarrHorne honeybadger.io source: http://blogs.sas.com/content/iml/2012/03/23/the-curse-of-dimensionality/
@StarrHorne honeybadger.io Text Recognition With Support Vector Machines
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io
@StarrHorne honeybadger.io Source: http://www.codeproject.com/Articles/106583/Handwriting-Recognition-Revisited-Kernel-Support-V
@StarrHorne honeybadger.io To Summarize...
@StarrHorne honeybadger.io Smoothing Clustering houses Image & audio downsampling Compression
Market segment modeling Spam detection Personal Recommendations Similar Items Full text search Handwriting Recognition
@StarrHorne honeybadger.io Want to learn more? ! stats202.com ! tinyurl.com/stanfordmachinelearning
! igvita.com (Ilya Grigorik’s blog)
@StarrHorne honeybadger.io Upcoming book by Matt Kirk http://signup.thoughtfulml.com/ (or pre-order
on Amazon)
@StarrHorne honeybadger.io honeybadger.io/blog @StarrHorne