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
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Starr Horne
August 03, 2014
Programming
200
4
Share
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
More Decks by Starr Horne
See All by Starr Horne
Ditching the Single Page Application - Madison+Ruby 2015
snhorne
0
260
Ditching the Single Page Application (RubyNation 2015)
snhorne
1
270
SVG Charts and Graphs With Ruby
snhorne
0
230
SVG Charts and Graphs With Ruby
snhorne
0
390
The short but happy lives of TCP and HTTP requests
snhorne
4
400
Biggish Data with Rails and Postgresql
snhorne
3
980
Other Decks in Programming
See All in Programming
Kubernetes上でAgentを動かすための最新動向と押さえるべき概念まとめ
sotamaki0421
3
510
forteeの改修から振り返るPHPerKaigi 2026
muno92
PRO
3
290
AIエージェントで業務改善してみた
taku271
0
530
Back to the roots of date
jinroq
0
100
SREに優しいTerraform構成 modulesとstateの組み方
hiyanger
2
130
Programming with a DJ Controller — not vibe coding
m_seki
3
110
事業会社でのセキュリティ長期インターンについて
masachikaura
0
250
PicoRuby for IoT: Connecting to the Cloud with MQTT
yuuu
2
580
GNU Makeの使い方 / How to use GNU Make
kaityo256
PRO
16
5.6k
TiDBのアーキテクチャから学ぶ分散システム入門 〜MySQL互換のNewSQLは何を解決するのか〜 / tidb-architecture-study
dznbk
1
180
Vibe NLP for Applied NLP
inesmontani
PRO
0
440
2026-03-27 #terminalnight 変数展開とコマンド展開でターミナル作業をスマートにする方法
masasuzu
0
340
Featured
See All Featured
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
55k
How to build a perfect <img>
jonoalderson
1
5.4k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
64
53k
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
520
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
Why Our Code Smells
bkeepers
PRO
340
58k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.1k
The Cost Of JavaScript in 2023
addyosmani
55
9.8k
What does AI have to do with Human Rights?
axbom
PRO
1
2.1k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
4k
How GitHub (no longer) Works
holman
316
150k
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
170
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