machine learning 101: basic of making sense of data (supervised) & values

ake M ove L 101 Basic of Making a Genius Baby (Supervised) & Beneﬁts

Upload: twitrum

Post on 02-Jul-2015

156 views

Category:

Data & Analytics

0 download

Report

Download

Embed Size (px):

DESCRIPTION

Understand basic Machine Learning without Machine Learning.

TRANSCRIPT

Page 1: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

akeM oveL 101Basic of Making a Genius Baby (Supervised) & Benefits

Page 2: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Page 3: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Durian!

Page 4: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Celcom Slow!

Line Maxis Fast!

Service Celcom Best!

Customer Service Maxis Suck!

Line Umobile Fast!

Customer Service Digi Best!

Customer RedOne Suck!

Line Tunetalk Slow!

Line MyTron Slow!

Line Clixster Fast!

Customer Service MyTron Best!

Customer Service Clixster Suck!

Page 5: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Celcom Slow!

Line Maxis Fast!

Service Celcom Best!

Customer Service Maxis Suck!

Internet

Support

Page 6: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Celcom Slow!

Line Maxis Fast!

Service Celcom Best!

Customer Service Maxis Suck!

Celcom

Maxis

Page 7: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Celcom Slow!

Line Maxis Fast!

Service Celcom Best!

Customer Service Maxis Suck!

Negative

Positive

Page 8: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Umobile Fast!

Customer Service Digi Best!

Customer RedOne Suck!

Line Tunetalk Slow!

Internet

Support

Page 9: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Umobile Fast!

Customer Service Digi Best!

Customer RedOne Suck!

Line Tunetalk Slow!

Umobile

TuneTalk

Digi

RedOne

Page 10: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Line Umobile Fast!

Customer Service Digi Best!

Customer RedOne Suck!

Line Tunetalk Slow!NegativePositive

Page 11: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Best nya TuneTalk punya Customer

Service!

Category - Support Identity - TuneTalk

Tone - Positive

Page 12: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

What if 100,000 or more feeds/activities everyday?

Page 13: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Share of Voices

Page 14: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Categories

Page 15: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Livehttp://twitrum.com/demo

http://twitrum.com/demo

Page 16: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Improve Accuracy - Parameters: Gaussian, Multinomial, Bernoulli... - Techniques: ensembling, boosting, bagging...

- Data: Clean, Volume, Features...

Page 17: Machine Learning 101: Basic of Making Sense of Data (Supervised) & Values

Summary

Basic of Making Sense of Data (Supervised) & Values

achineM earningL 101

Sense of Values

Lecture 2: Supervised Learning | Classi cationjaven/talk/L2 Supervised Learning.pdf · Recap Lecture 1 Concepts of Supervised Learning (SL) Classi cation algorithms Supervised Learning

Making sense of stakeholder values emergence

Combining Knowledge-based Methods and Supervised Learning for Effective Word Sense Disambiguation

Integrating Weakly Supervised Word Sense Disambiguation into …publications.idiap.ch/downloads/papers/2018/Pu_TACL_2018.pdf · 2018. 10. 8. · tj and examples e tj are repre-sented

Word Sense Disambiguation 6.891: Lecture 18 …6.891: Lecture 18 (November 12th, 2003) Word Sense Disambiguation Overview A supervised method: decision lists A partially supervised

Deep Learning-Powered Insight from Dark Resources · – Deep Learning for supervised image feature learning • Nearby pixel values are correlated – Supervised • Ideal for Image

Supervised Nonlinear Factorizations Excel In Semi-supervised … · 2020. 12. 9. · Supervised Nonlinear Factorizations Excel In Semi-supervised Regression Josif Grabocka 1, Erind

WORD SENSE DISAMBIGUATIONu.cs.biu.ac.il/~89-680/wsd.pdfWORD SENSE DISAMBIGUATION ADAPTED AND EXTENDED BY IDO DAGAN FOR BAR-ILAN UNIVERSITY CLASS knowledge-based, supervised, word sense

Deep Learning For Medical Image Interpretationcs230.stanford.edu/spring2020/lecture5_guest.pdf · Yarowsky et al. Unsupervised word sense disambiguation rivaling supervised methods

Junior Achievement Dollars with Sense. MISSION AND VALUES Mission To inspire and prepare young people to succeed in a global economy Values With over

LSA$311 Computational$ Lexical$Semanticsweb.stanford.edu/~jurafsky/li15/lec2.wsd.pdfparadigms to word sense disambiguation. 16.5 Supervised Word Sense Disambiguation If we have data

Part 5. Minimally Supervised Methods for Word Sense Disambiguation

1 WORD SENSE DISAMBIGUATION ADAPTED AND EXTENDED BY IDO DAGAN FOR BAR-ILAN UNIVERSITY CLASS knowledge-based, supervised, word sense induction, topic features

Extracting common sense knowledge via triple ranking using ... · IOS Press Extracting common sense knowledge via triple ranking using supervised and ... validate our method on the

Supervised, semi-supervised and Unsu pervised approaches for word sense disambiguation

Number Sense Disambiguation Stuart Moore Supervised by: Anna Korhonen (Computer Lab) Sabine Buchholz (Toshiba CRL)

WORD SENSE DISAMBIGUATIONu.cs.biu.ac.il/~89-680/lex-sem.pdf · 1 WORD SENSE DISAMBIGUATION ADAPTED AND EXTENDED BY IDO DAGAN FOR BAR-ILAN UNIVERSITY CLASS knowledge-based, supervised,

Part 5. Minimally Supervised Methods for Word Sense Disambiguation

D. NATIONAL COUNCIL FOR CHILDREN'S … I/DEPED/D.pdfPromotes quality television programs that develop the moral values and strong sense ... attitude and values of Filipino children

Part 4: Supervised Methods of Word Sense Disambiguation

Shifting Public Values for Forest Management: Making Sense of Wicked …andrewsforest.oregonstate.edu/pubs/pdf/pub2465.pdf · · 2011-04-12Shifting Public Values for Forest Management:

Part 4: Supervised Methods of Word Sense Disambiguation

Self-Supervised Difference Detection for Weakly-Supervised

Supervised Corpus-based Methods for Word Sense Disambiguation

UNDERSTANDING PARTICIPANTS AS CONSUMERS. Why Do We Participate? Personal Improvement –Better health, sense of accomplishment, develop positive values,

Interpretable Graph-Based Semi-Supervised Learning via Flows · connectivity is provided by graph-based semi-supervised learning approaches, whereby the labels, or values, known on

SUPERVISED, SEMI-SUPERVISED AND UNSUPERVISED … · SUPERVISED, SEMI-SUPERVISED AND UNSUPERVISED METHODS IN DISCRIMINATIVE LANGUAGE MODELING FOR AUTOMATIC SPEECH RECOGNITION by Erin˘c

Creating annotated corpora for supervised sense …verbs.colorado.edu/~mpalmer/Ling7800/complexsem.lecture2.pdf• Missing senses (deliberate omission of specialized uses of words;

Vrije Universiteit Brussel How to Build a Supervised ... · must resume control of the therapeutic intervention. The robot’s autonomy therefore remains supervised in the sense that

Text Classification - University of Washington · 2013-02-04 · Overview: Classification ! Classification Problems ! Spam vs. Non-spam, Text Genre, Word Sense, etc. ! Supervised

1 Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation Masters Thesis : Saif Mohammad Advisor : Dr. Ted Pedersen University

Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation

Making Sense of Vision and Touch: Self-Supervised …yukez/papers/icra2019.pdfMaking Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich