SlideShare une entreprise Scribd logo

introducción a Machine Learning

•Télécharger en tant que PPT, PDF•
•
B
butest
1  sur  32
CS 391L: Machine Learning Introduction Raymond J. Mooney University of Texas at Austin
What is Learning? ,[object Object],[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problem Solving / Planning / Control ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring Performance ,[object Object],[object Object],[object Object],[object Object]
Why Study Machine Learning? Engineering Better Computing Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why Study Machine Learning? Cognitive Science ,[object Object],[object Object],[object Object],[object Object],[object Object],log(# training trials) log(perf. time)
Why Study Machine Learning? The Time is Ripe ,[object Object],[object Object],[object Object]
Related Disciplines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Defining the Learning Task ,[object Object],[object Object],T: Playing checkers P: Percentage of games won against an arbitrary opponent E: Playing practice games against itself T: Recognizing hand-written words P: Percentage of words correctly classified E: Database of human-labeled images of handwritten words T: Driving on four-lane highways using vision sensors P: Average distance traveled before a human-judged error E: A sequence of images and steering commands recorded while observing a human driver. T: Categorize email messages as spam or legitimate. P: Percentage of email messages correctly classified. E: Database of emails, some with human-given labels
Designing a Learning System ,[object Object],[object Object],[object Object],[object Object],Environment/ Experience Learner Knowledge Performance Element
Sample Learning Problem ,[object Object],[object Object]
Training Experience ,[object Object],[object Object],[object Object],[object Object],[object Object]
Source of Training Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Training vs. Test Distribution ,[object Object],[object Object],[object Object],[object Object]
Choosing a Target Function ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ideal Definition of V ( b ) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Approximating V ( b ) ,[object Object],[object Object],[object Object],[object Object]
Representing the Target Function ,[object Object],[object Object],[object Object]
Linear Function for Representing V ( b ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Obtaining Training Values ,[object Object],[object Object],[object Object]
Temporal Difference Learning ,[object Object],[object Object],[object Object]
Learning Algorithm ,[object Object],[object Object],[object Object]
Least Mean Squares (LMS) Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LMS Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Lessons Learned about Learning ,[object Object],[object Object],[object Object]
Various Function Representations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Various Search Algorithms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evaluation of Learning Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History of Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History of Machine Learning (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History of Machine Learning (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Recommandé

vorl1.ppt
vorl1.pptvorl1.ppt
vorl1.pptbutest
 
ppt
pptppt
pptbutest
 
Introdution and designing a learning system
Introdution and designing a learning systemIntrodution and designing a learning system
Introdution and designing a learning systemswapnac12
 
Machine Learning 1 - Introduction
Machine Learning 1 - IntroductionMachine Learning 1 - Introduction
Machine Learning 1 - Introductionbutest
 
Machine Learning Fall, 2007 Course Information
Machine Learning Fall, 2007 Course InformationMachine Learning Fall, 2007 Course Information
Machine Learning Fall, 2007 Course Informationbutest
 
Online learning & adaptive game playing
Online learning & adaptive game playingOnline learning & adaptive game playing
Online learning & adaptive game playingSaeid Ghafouri
 
课堂讲义(最后更新:2009-9-25)
课堂讲义(最后更新:2009-9-25)课堂讲义(最后更新:2009-9-25)
课堂讲义(最后更新:2009-9-25)butest
 
Machine learning for deep learning
Machine learning for deep learningMachine learning for deep learning
Machine learning for deep learningSung Yub Kim
 

Recommandé

vorl1.ppt
vorl1.pptvorl1.ppt
vorl1.pptbutest
 
ppt
pptppt
pptbutest
 
Introdution and designing a learning system
Introdution and designing a learning systemIntrodution and designing a learning system
Introdution and designing a learning systemswapnac12
 
Machine Learning 1 - Introduction
Machine Learning 1 - IntroductionMachine Learning 1 - Introduction
Machine Learning 1 - Introductionbutest
 
Machine Learning Fall, 2007 Course Information
Machine Learning Fall, 2007 Course InformationMachine Learning Fall, 2007 Course Information
Machine Learning Fall, 2007 Course Informationbutest
 
Online learning & adaptive game playing
Online learning & adaptive game playingOnline learning & adaptive game playing
Online learning & adaptive game playingSaeid Ghafouri
 
课堂讲义(最后更新:2009-9-25)
课堂讲义(最后更新:2009-9-25)课堂讲义(最后更新:2009-9-25)
课堂讲义(最后更新:2009-9-25)butest
 
Machine learning for deep learning
Machine learning for deep learningMachine learning for deep learning
Machine learning for deep learningSung Yub Kim
 
Machine learning Lecture 1
Machine learning Lecture 1Machine learning Lecture 1
Machine learning Lecture 1Srinivasan R
 
Machine learning with ADA Boost
Machine learning with ADA BoostMachine learning with ADA Boost
Machine learning with ADA BoostAman Patel
 
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMachine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMadhav Mishra
 
Kato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoostKato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoostKato Mivule
 
Supervised Machine Learning in R
Supervised Machine Learning in RSupervised Machine Learning in R
Supervised Machine Learning in RBabu Priyavrat
 
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018Amazon Web Services
 
Machine Learning and Inductive Inference
Machine Learning and Inductive InferenceMachine Learning and Inductive Inference
Machine Learning and Inductive Inferencebutest
 
Presentation on supervised learning
Presentation on supervised learningPresentation on supervised learning
Presentation on supervised learningTonmoy Bhagawati
 
Introduction to-machine-learning
Introduction to-machine-learningIntroduction to-machine-learning
Introduction to-machine-learningBabu Priyavrat
 
Basics of Machine Learning
Basics of Machine LearningBasics of Machine Learning
Basics of Machine Learningbutest
 
Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)butest
 
Learning
LearningLearning
LearningAmit Pandey
 
Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401butest
 
Machine Learning presentation.
Machine Learning presentation.Machine Learning presentation.
Machine Learning presentation.butest
 
Machine Learning in Finance
Machine Learning in FinanceMachine Learning in Finance
Machine Learning in FinanceHamed Vaheb
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningKmPooja4
 
Essentials of machine learning algorithms
Essentials of machine learning algorithmsEssentials of machine learning algorithms
Essentials of machine learning algorithmsArunangsu Sahu
 
Machine learning
Machine learningMachine learning
Machine learningAndrea Iacono
 
Chapter 5 of 1
Chapter 5 of 1Chapter 5 of 1
Chapter 5 of 1Melaku Bayih Demessie
 
Machine learning
Machine learningMachine learning
Machine learningVatsal Gajera
 
slides
slidesslides
slidesbutest
 
Nelly CourtoisEx 3
Nelly CourtoisEx 3Nelly CourtoisEx 3
Nelly CourtoisEx 3nellycourtois
 

Contenu connexe

Tendances

Machine learning Lecture 1
Machine learning Lecture 1Machine learning Lecture 1
Machine learning Lecture 1Srinivasan R
 
Machine learning with ADA Boost
Machine learning with ADA BoostMachine learning with ADA Boost
Machine learning with ADA BoostAman Patel
 
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMachine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMadhav Mishra
 
Kato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoostKato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoostKato Mivule
 
Supervised Machine Learning in R
Supervised Machine Learning in RSupervised Machine Learning in R
Supervised Machine Learning in RBabu Priyavrat
 
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018Amazon Web Services
 
Machine Learning and Inductive Inference
Machine Learning and Inductive InferenceMachine Learning and Inductive Inference
Machine Learning and Inductive Inferencebutest
 
Presentation on supervised learning
Presentation on supervised learningPresentation on supervised learning
Presentation on supervised learningTonmoy Bhagawati
 
Introduction to-machine-learning
Introduction to-machine-learningIntroduction to-machine-learning
Introduction to-machine-learningBabu Priyavrat
 
Basics of Machine Learning
Basics of Machine LearningBasics of Machine Learning
Basics of Machine Learningbutest
 
Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)butest
 
Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401butest
 
Machine Learning presentation.
Machine Learning presentation.Machine Learning presentation.
Machine Learning presentation.butest
 
Machine Learning in Finance
Machine Learning in FinanceMachine Learning in Finance
Machine Learning in FinanceHamed Vaheb
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningKmPooja4
 
Essentials of machine learning algorithms
Essentials of machine learning algorithmsEssentials of machine learning algorithms
Essentials of machine learning algorithmsArunangsu Sahu
 

Tendances (20)

Machine learning Lecture 1
Machine learning Lecture 1Machine learning Lecture 1
Machine learning Lecture 1
 
Machine learning with ADA Boost
Machine learning with ADA BoostMachine learning with ADA Boost
Machine learning with ADA Boost
 
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMachine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
 
Kato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoostKato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule: An Overview of Adaptive Boosting – AdaBoost
 
Supervised Machine Learning in R
Supervised Machine Learning in RSupervised Machine Learning in R
Supervised Machine Learning in R
 
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
Unbiased Learning from Biased User Feedback (AIS304) - AWS re:Invent 2018
 
Machine Learning and Inductive Inference
Machine Learning and Inductive InferenceMachine Learning and Inductive Inference
Machine Learning and Inductive Inference
 
Presentation on supervised learning
Presentation on supervised learningPresentation on supervised learning
Presentation on supervised learning
 
Introduction to-machine-learning
Introduction to-machine-learningIntroduction to-machine-learning
Introduction to-machine-learning
 
Basics of Machine Learning
Basics of Machine LearningBasics of Machine Learning
Basics of Machine Learning
 
Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)Induction and Decision Tree Learning (Part 1)
Induction and Decision Tree Learning (Part 1)
 
Learning
LearningLearning
Learning
 
Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401Machine Learning: Foundations Course Number 0368403401
Machine Learning: Foundations Course Number 0368403401
 
Machine Learning presentation.
Machine Learning presentation.Machine Learning presentation.
Machine Learning presentation.
 
Machine Learning in Finance
Machine Learning in FinanceMachine Learning in Finance
Machine Learning in Finance
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
Essentials of machine learning algorithms
Essentials of machine learning algorithmsEssentials of machine learning algorithms
Essentials of machine learning algorithms
 
Machine learning
Machine learningMachine learning
Machine learning
 
Chapter 5 of 1
Chapter 5 of 1Chapter 5 of 1
Chapter 5 of 1
 
Machine learning
Machine learningMachine learning
Machine learning
 

En vedette

slides
slidesslides
slidesbutest
 
Seychas Nina Kuryata
Seychas Nina KuryataSeychas Nina Kuryata
Seychas Nina KuryataOleg Khomenok
 
C:\Fakepath\солянка мясная
C:\Fakepath\солянка мяснаяC:\Fakepath\солянка мясная
C:\Fakepath\солянка мяснаяgmc999
 
Rule discovery from time series
Rule discovery from time seriesRule discovery from time series
Rule discovery from time seriesbutest
 
Machine Learning Techniques for the Evaluating of External ...
Machine Learning Techniques for the Evaluating of External ...Machine Learning Techniques for the Evaluating of External ...
Machine Learning Techniques for the Evaluating of External ...butest
 
NEB Step-1 Formative Assessment
NEB Step-1 Formative AssessmentNEB Step-1 Formative Assessment
NEB Step-1 Formative AssessmentDrSaeed Shafi
 
미래의 PC사용
미래의 PC사용미래의 PC사용
미래의 PC사용ultraajh
 
美河提供 深入学习 Python程序开发(1)
美河提供 深入学习 Python程序开发(1)美河提供 深入学习 Python程序开发(1)
美河提供 深入学习 Python程序开发(1)guest3b5a7af0
 
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussa
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussaWikisuunnittelu - vertaistuotanto kaupunkisuunnittelussa
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussaPeter Tattersall
 
Figure 1.doc
Figure 1.docFigure 1.doc
Figure 1.docbutest
 
모바일혁명 마이크로블로그
모바일혁명 마이크로블로그모바일혁명 마이크로블로그
모바일혁명 마이크로블로그Connect Knowledge
 
Jai Ho North American Press Conference, New York
Jai Ho North American Press Conference, New YorkJai Ho North American Press Conference, New York
Jai Ho North American Press Conference, New YorkAnhad Inc
 
Международные социалки
Международные социалкиМеждународные социалки
Международные социалкиMarie Acidrain
 
CONTENTS
CONTENTSCONTENTS
CONTENTSbutest
 
Styleguide Driven Development
Styleguide Driven DevelopmentStyleguide Driven Development
Styleguide Driven DevelopmentWINTR
 

En vedette (20)

slides
slidesslides
slides
 
Nelly CourtoisEx 3
Nelly CourtoisEx 3Nelly CourtoisEx 3
Nelly CourtoisEx 3
 
Seychas Nina Kuryata
Seychas Nina KuryataSeychas Nina Kuryata
Seychas Nina Kuryata
 
C:\Fakepath\солянка мясная
C:\Fakepath\солянка мяснаяC:\Fakepath\солянка мясная
C:\Fakepath\солянка мясная
 
Rule discovery from time series
Rule discovery from time seriesRule discovery from time series
Rule discovery from time series
 
Machine Learning Techniques for the Evaluating of External ...
Machine Learning Techniques for the Evaluating of External ...Machine Learning Techniques for the Evaluating of External ...
Machine Learning Techniques for the Evaluating of External ...
 
NEB Step-1 Formative Assessment
NEB Step-1 Formative AssessmentNEB Step-1 Formative Assessment
NEB Step-1 Formative Assessment
 
미래의 PC사용
미래의 PC사용미래의 PC사용
미래의 PC사용
 
美河提供 深入学习 Python程序开发(1)
美河提供 深入学习 Python程序开发(1)美河提供 深入学习 Python程序开发(1)
美河提供 深入学习 Python程序开发(1)
 
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussa
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussaWikisuunnittelu - vertaistuotanto kaupunkisuunnittelussa
Wikisuunnittelu - vertaistuotanto kaupunkisuunnittelussa
 
Figure 1.doc
Figure 1.docFigure 1.doc
Figure 1.doc
 
모바일혁명 마이크로블로그
모바일혁명 마이크로블로그모바일혁명 마이크로블로그
모바일혁명 마이크로블로그
 
Presentatie1
Presentatie1Presentatie1
Presentatie1
 
Jai Ho North American Press Conference, New York
Jai Ho North American Press Conference, New YorkJai Ho North American Press Conference, New York
Jai Ho North American Press Conference, New York
 
Международные социалки
Международные социалкиМеждународные социалки
Международные социалки
 
Jednota aktual
Jednota aktualJednota aktual
Jednota aktual
 
CONTENTS
CONTENTSCONTENTS
CONTENTS
 
Styleguide Driven Development
Styleguide Driven DevelopmentStyleguide Driven Development
Styleguide Driven Development
 
Drupal seo
Drupal seoDrupal seo
Drupal seo
 
Arazágurt
ArazágurtArazágurt
Arazágurt
 

Similaire à introducción a Machine Learning

notes as .ppt
notes as .pptnotes as .ppt
notes as .pptbutest
 
ML_ Unit_1_PART_A
ML_ Unit_1_PART_AML_ Unit_1_PART_A
ML_ Unit_1_PART_ASrimatre K
 
UNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxUNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxRohanPathak30
 
Computational Biology, Part 4 Protein Coding Regions
Computational Biology, Part 4 Protein Coding RegionsComputational Biology, Part 4 Protein Coding Regions
Computational Biology, Part 4 Protein Coding Regionsbutest
 
Chapter01.ppt
Chapter01.pptChapter01.ppt
Chapter01.pptbutest
 
Introduction
IntroductionIntroduction
Introductionbutest
 
Introduction
IntroductionIntroduction
Introductionbutest
 
Introduction
IntroductionIntroduction
Introductionbutest
 
original
originaloriginal
originalbutest
 
Machine Learning
Machine LearningMachine Learning
Machine Learningbutest
 
Machine Learning: Decision Trees Chapter 18.1-18.3
Machine Learning: Decision Trees Chapter 18.1-18.3Machine Learning: Decision Trees Chapter 18.1-18.3
Machine Learning: Decision Trees Chapter 18.1-18.3butest
 
ML PPT print.pdf
ML PPT print.pdfML PPT print.pdf
ML PPT print.pdfalaparthi
 
Artificial Intelligence.pptx
Artificial Intelligence.pptxArtificial Intelligence.pptx
Artificial Intelligence.pptxKaviya452563
 
Introduction to Machine Learning.
Introduction to Machine Learning.Introduction to Machine Learning.
Introduction to Machine Learning.butest
 

Similaire à introducción a Machine Learning (20)

notes as .ppt
notes as .pptnotes as .ppt
notes as .ppt
 
ML_ Unit_1_PART_A
ML_ Unit_1_PART_AML_ Unit_1_PART_A
ML_ Unit_1_PART_A
 
UNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxUNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptx
 
Computational Biology, Part 4 Protein Coding Regions
Computational Biology, Part 4 Protein Coding RegionsComputational Biology, Part 4 Protein Coding Regions
Computational Biology, Part 4 Protein Coding Regions
 
Machine Learning.pptx
Machine Learning.pptxMachine Learning.pptx
Machine Learning.pptx
 
ML_Lecture_1.ppt
ML_Lecture_1.pptML_Lecture_1.ppt
ML_Lecture_1.ppt
 
Chapter01.ppt
Chapter01.pptChapter01.ppt
Chapter01.ppt
 
Introduction
IntroductionIntroduction
Introduction
 
Introduction
IntroductionIntroduction
Introduction
 
Introduction
IntroductionIntroduction
Introduction
 
original
originaloriginal
original
 
Module 1.pdf
Module 1.pdfModule 1.pdf
Module 1.pdf
 
Machine Learning
Machine LearningMachine Learning
Machine Learning
 
Machine Learning: Decision Trees Chapter 18.1-18.3
Machine Learning: Decision Trees Chapter 18.1-18.3Machine Learning: Decision Trees Chapter 18.1-18.3
Machine Learning: Decision Trees Chapter 18.1-18.3
 
ML Unit 1 CS.ppt
ML Unit 1 CS.pptML Unit 1 CS.ppt
ML Unit 1 CS.ppt
 
ML PPT print.pdf
ML PPT print.pdfML PPT print.pdf
ML PPT print.pdf
 
Artificial Intelligence.pptx
Artificial Intelligence.pptxArtificial Intelligence.pptx
Artificial Intelligence.pptx
 
Introduction to Machine Learning.
Introduction to Machine Learning.Introduction to Machine Learning.
Introduction to Machine Learning.
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
Machine Learning_PPT.pptx
Machine Learning_PPT.pptxMachine Learning_PPT.pptx
Machine Learning_PPT.pptx
 

Plus de butest

EL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEEL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEbutest
 
1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同butest
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALbutest
 
Timeline: The Life of Michael Jackson
Timeline: The Life of Michael JacksonTimeline: The Life of Michael Jackson
Timeline: The Life of Michael Jacksonbutest
 
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...butest
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALbutest
 
Com 380, Summer II
Com 380, Summer IICom 380, Summer II
Com 380, Summer IIbutest
 
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet JazzThe MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazzbutest
 
MICHAEL JACKSON.doc
MICHAEL JACKSON.docMICHAEL JACKSON.doc
MICHAEL JACKSON.docbutest
 
Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1butest
 
Facebook
Facebook Facebook
Facebook butest
 
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...butest
 
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...butest
 
NEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTNEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTbutest
 
C-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docC-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docbutest
 
MAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docMAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docbutest
 
Mac OS X Guide.doc
Mac OS X Guide.docMac OS X Guide.doc
Mac OS X Guide.docbutest
 
WEB DESIGN!
WEB DESIGN!WEB DESIGN!
WEB DESIGN!butest
 

Plus de butest (20)

EL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEEL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBE
 
1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIAL
 
Timeline: The Life of Michael Jackson
Timeline: The Life of Michael JacksonTimeline: The Life of Michael Jackson
Timeline: The Life of Michael Jackson
 
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIAL
 
Com 380, Summer II
Com 380, Summer IICom 380, Summer II
Com 380, Summer II
 
PPT
PPTPPT
PPT
 
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet JazzThe MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
 
MICHAEL JACKSON.doc
MICHAEL JACKSON.docMICHAEL JACKSON.doc
MICHAEL JACKSON.doc
 
Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1
 
Facebook
Facebook Facebook
Facebook
 
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...
 
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...
 
NEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTNEWS ANNOUNCEMENT
NEWS ANNOUNCEMENT
 
C-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docC-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.doc
 
MAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docMAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.doc
 
Mac OS X Guide.doc
Mac OS X Guide.docMac OS X Guide.doc
Mac OS X Guide.doc
 
hier
hierhier
hier
 
WEB DESIGN!
WEB DESIGN!WEB DESIGN!
WEB DESIGN!
 

introducción a Machine Learning

  • 1. CS 391L: Machine Learning Introduction Raymond J. Mooney University of Texas at Austin
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.