SlideShare une entreprise Scribd logo

Lec1-Into

•Télécharger en tant que PPT, PDF•
•
B
butest
1  sur  30
CSE 591: Machine learning and Applications Jieping Ye Department of Computer Science & Engineering Arizona State University
Brief Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline of lecture ,[object Object],[object Object],[object Object],[object Object],[object Object]
Course Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Course information (Cont’d) ,[object Object],[object Object],[object Object],[object Object]
Reference books ,[object Object],[object Object],[object Object],[object Object],[object Object]
Grading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Project ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Programming languages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is machine learning? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Machine learning versus data mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],Inter-cluster distances are maximized Intra-cluster distances are minimized
Applications of Cluster Analysis ,[object Object],[object Object],[object Object],[object Object],Clustering precipitation in Australia
Classification: Definition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Classification Example categorical categorical continuous class Training Set Learn Classifier Test Set Model
Classification: Application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Character Recognition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other applications ,[object Object],[object Object],[object Object],[object Object]
Data representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Kernel Methods: Basic ideas Original Space Feature Space   
Applications in bioinformatics ,[object Object],[object Object]
Data integration mRNA expression data protein-protein interaction data hydrophobicity data sequence data (gene, protein) Genome-wide data
Curse of dimensionality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Manifold learning ,[object Object]
Intuition: how does your brain store these pictures?
Model selection ,[object Object],[object Object],[object Object],[object Object],[object Object]
Machine learning applications ,[object Object],[object Object],[object Object],[object Object],[object Object]
Course schedule
Survey ,[object Object],[object Object],[object Object],[object Object]
Next class ,[object Object],[object Object],[object Object],[object Object],[object Object]

Recommandé

Deep Neural Networks in Text Classification using Active Learning
Deep Neural Networks in Text Classification using Active LearningDeep Neural Networks in Text Classification using Active Learning
Deep Neural Networks in Text Classification using Active LearningMirsaeid Abolghasemi
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
Csi poster
Csi posterCsi poster
Csi posterISSIP
 
Language Models for Information Retrieval
Language Models for Information RetrievalLanguage Models for Information Retrieval
Language Models for Information RetrievalDustin Smith
 
IJET-V2I6P32
IJET-V2I6P32IJET-V2I6P32
IJET-V2I6P32IJET - International Journal of Engineering and Techniques
 
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and Prediction
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and PredictionUsing ID3 Decision Tree Algorithm to the Student Grade Analysis and Prediction
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and Predictionijtsrd
 
Application and Implementation of different deep learning
Application and Implementation of different deep learningApplication and Implementation of different deep learning
Application and Implementation of different deep learningJIEJackyZOUChou
 
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...theijes
 

Recommandé

Deep Neural Networks in Text Classification using Active Learning
Deep Neural Networks in Text Classification using Active LearningDeep Neural Networks in Text Classification using Active Learning
Deep Neural Networks in Text Classification using Active LearningMirsaeid Abolghasemi
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
Csi poster
Csi posterCsi poster
Csi posterISSIP
 
Language Models for Information Retrieval
Language Models for Information RetrievalLanguage Models for Information Retrieval
Language Models for Information RetrievalDustin Smith
 
IJET-V2I6P32
IJET-V2I6P32IJET-V2I6P32
IJET-V2I6P32IJET - International Journal of Engineering and Techniques
 
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and Prediction
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and PredictionUsing ID3 Decision Tree Algorithm to the Student Grade Analysis and Prediction
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and Predictionijtsrd
 
Application and Implementation of different deep learning
Application and Implementation of different deep learningApplication and Implementation of different deep learning
Application and Implementation of different deep learningJIEJackyZOUChou
 
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...
A Survey and Comparative Study of Filter and Wrapper Feature Selection Techni...theijes
 
Few shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningFew shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningﺁﺻﻒ ﻋﻠﯽ ﻣﯿﺮ
 
MACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOXMACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOXmlaij
 
Evaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classificationEvaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classificationeSAT Journals
 
J48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance DataJ48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance DataCSCJournals
 
Evaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for fileEvaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for fileeSAT Publishing House
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningeSAT Journals
 
Predicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithmsPredicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithmsIJDKP
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningeSAT Publishing House
 
Course Syllabus
Course SyllabusCourse Syllabus
Course Syllabusbutest
 
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...Hakka Labs
 
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...cscpconf
 
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...IJNSA Journal
 
Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower Sylvia Wower
 
Archetype Modeling Methodology
Archetype Modeling MethodologyArchetype Modeling Methodology
Archetype Modeling MethodologyDavid Moner Cano
 
Contextual Definition Generation
Contextual Definition GenerationContextual Definition Generation
Contextual Definition GenerationSergey Sosnovsky
 
Applying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information RetrievalApplying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information RetrievalIJAEMSJORNAL
 
Unsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent VariablesUnsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent VariablesJinho Choi
 
Genetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithmsGenetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithmsDr. C.V. Suresh Babu
 
A Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data MiningA Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data MiningEditor IJCATR
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07Clara Kwan
 
Machine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AEMachine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AEbutest
 
kantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptkantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptbutest
 

Contenu connexe

Tendances

Few shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningFew shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningﺁﺻﻒ ﻋﻠﯽ ﻣﯿﺮ
 
MACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOXMACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOXmlaij
 
Evaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classificationEvaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classificationeSAT Journals
 
J48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance DataJ48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance DataCSCJournals
 
Evaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for fileEvaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for fileeSAT Publishing House
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningeSAT Journals
 
Predicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithmsPredicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithmsIJDKP
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningeSAT Publishing House
 
Course Syllabus
Course SyllabusCourse Syllabus
Course Syllabusbutest
 
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...Hakka Labs
 
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...cscpconf
 
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...IJNSA Journal
 
Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower Sylvia Wower
 
Archetype Modeling Methodology
Archetype Modeling MethodologyArchetype Modeling Methodology
Archetype Modeling MethodologyDavid Moner Cano
 
Contextual Definition Generation
Contextual Definition GenerationContextual Definition Generation
Contextual Definition GenerationSergey Sosnovsky
 
Applying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information RetrievalApplying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information RetrievalIJAEMSJORNAL
 
Unsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent VariablesUnsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent VariablesJinho Choi
 
Genetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithmsGenetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithmsDr. C.V. Suresh Babu
 
A Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data MiningA Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data MiningEditor IJCATR
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07Clara Kwan
 

Tendances (20)

Few shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningFew shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learning
 
MACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOXMACHINE LEARNING TOOLBOX
MACHINE LEARNING TOOLBOX
 
Evaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classificationEvaluating the efficiency of rule techniques for file classification
Evaluating the efficiency of rule techniques for file classification
 
J48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance DataJ48 and JRIP Rules for E-Governance Data
J48 and JRIP Rules for E-Governance Data
 
Evaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for fileEvaluating the efficiency of rule techniques for file
Evaluating the efficiency of rule techniques for file
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text mining
 
Predicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithmsPredicting students' performance using id3 and c4.5 classification algorithms
Predicting students' performance using id3 and c4.5 classification algorithms
 
Using data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text miningUsing data mining methods knowledge discovery for text mining
Using data mining methods knowledge discovery for text mining
 
Course Syllabus
Course SyllabusCourse Syllabus
Course Syllabus
 
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learni...
 
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
Multi Label Spatial Semi Supervised Classification using Spatial Associative ...
 
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : ...
 
Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower Genetic algorithms in molecular design of novel fabrics Sylvia Wower
Genetic algorithms in molecular design of novel fabrics Sylvia Wower
 
Archetype Modeling Methodology
Archetype Modeling MethodologyArchetype Modeling Methodology
Archetype Modeling Methodology
 
Contextual Definition Generation
Contextual Definition GenerationContextual Definition Generation
Contextual Definition Generation
 
Applying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information RetrievalApplying Soft Computing Techniques in Information Retrieval
Applying Soft Computing Techniques in Information Retrieval
 
Unsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent VariablesUnsupervised Main Entity Extraction from News Articles using Latent Variables
Unsupervised Main Entity Extraction from News Articles using Latent Variables
 
Genetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithmsGenetic algorithms vs Traditional algorithms
Genetic algorithms vs Traditional algorithms
 
A Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data MiningA Survey on the Classification Techniques In Educational Data Mining
A Survey on the Classification Techniques In Educational Data Mining
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07
 

Similaire à Lec1-Into

Machine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AEMachine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AEbutest
 
kantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptkantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptbutest
 
Incremental learning from unbalanced data with concept class, concept drift a...
Incremental learning from unbalanced data with concept class, concept drift a...Incremental learning from unbalanced data with concept class, concept drift a...
Incremental learning from unbalanced data with concept class, concept drift a...IJDKP
 
Towards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong StudentsTowards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong StudentsCITE
 
313 IDS _Course_Introduction_PPT.pptx
313 IDS _Course_Introduction_PPT.pptx313 IDS _Course_Introduction_PPT.pptx
313 IDS _Course_Introduction_PPT.pptxsameernsn1
 
Brief Tour of Machine Learning
Brief Tour of Machine LearningBrief Tour of Machine Learning
Brief Tour of Machine Learningbutest
 
Discover How Scientific Data is Used for the Public Good with Natural Languag...
Discover How Scientific Data is Used for the Public Good with Natural Languag...Discover How Scientific Data is Used for the Public Good with Natural Languag...
Discover How Scientific Data is Used for the Public Good with Natural Languag...BaoTramDuong2
 
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...ijcsa
 
Recommenders, Topics, and Text
Recommenders, Topics, and TextRecommenders, Topics, and Text
Recommenders, Topics, and TextNBER
 
Falon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler
 
chalenges and apportunity of deep learning for big data analysis f
chalenges and apportunity of deep learning for big data analysis f chalenges and apportunity of deep learning for big data analysis f
chalenges and apportunity of deep learning for big data analysis fmaru kindeneh
 
32_Nov07_MachineLear..
32_Nov07_MachineLear..32_Nov07_MachineLear..
32_Nov07_MachineLear..butest
 
Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1NBER
 
Advantages And Disadvantages Of Chronic Kidney Disease
Advantages And Disadvantages Of Chronic Kidney DiseaseAdvantages And Disadvantages Of Chronic Kidney Disease
Advantages And Disadvantages Of Chronic Kidney DiseaseKaren Oliver
 
A scenario based approach for dealing with
A scenario based approach for dealing withA scenario based approach for dealing with
A scenario based approach for dealing withijcsa
 
NE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISNE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISrathnaarul
 
An introduction to machine learning in biomedical research: Key concepts, pr...
An introduction to machine learning in biomedical research: Key concepts, pr...An introduction to machine learning in biomedical research: Key concepts, pr...
An introduction to machine learning in biomedical research: Key concepts, pr...FranciscoJAzuajeG
 

Similaire à Lec1-Into (20)

Machine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AEMachine Learning for automated diagnosis of distributed ...AE
Machine Learning for automated diagnosis of distributed ...AE
 
kantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptkantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.ppt
 
Incremental learning from unbalanced data with concept class, concept drift a...
Incremental learning from unbalanced data with concept class, concept drift a...Incremental learning from unbalanced data with concept class, concept drift a...
Incremental learning from unbalanced data with concept class, concept drift a...
 
Towards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong StudentsTowards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong Students
 
313 IDS _Course_Introduction_PPT.pptx
313 IDS _Course_Introduction_PPT.pptx313 IDS _Course_Introduction_PPT.pptx
313 IDS _Course_Introduction_PPT.pptx
 
Brief Tour of Machine Learning
Brief Tour of Machine LearningBrief Tour of Machine Learning
Brief Tour of Machine Learning
 
Machine Learning - Deep Learning
Machine Learning - Deep LearningMachine Learning - Deep Learning
Machine Learning - Deep Learning
 
Discover How Scientific Data is Used for the Public Good with Natural Languag...
Discover How Scientific Data is Used for the Public Good with Natural Languag...Discover How Scientific Data is Used for the Public Good with Natural Languag...
Discover How Scientific Data is Used for the Public Good with Natural Languag...
 
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...
A New Active Learning Technique Using Furthest Nearest Neighbour Criterion fo...
 
Recommenders, Topics, and Text
Recommenders, Topics, and TextRecommenders, Topics, and Text
Recommenders, Topics, and Text
 
Falon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop Presentation
 
chalenges and apportunity of deep learning for big data analysis f
chalenges and apportunity of deep learning for big data analysis f chalenges and apportunity of deep learning for big data analysis f
chalenges and apportunity of deep learning for big data analysis f
 
32_Nov07_MachineLear..
32_Nov07_MachineLear..32_Nov07_MachineLear..
32_Nov07_MachineLear..
 
Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1
 
Talk
TalkTalk
Talk
 
Advantages And Disadvantages Of Chronic Kidney Disease
Advantages And Disadvantages Of Chronic Kidney DiseaseAdvantages And Disadvantages Of Chronic Kidney Disease
Advantages And Disadvantages Of Chronic Kidney Disease
 
A scenario based approach for dealing with
A scenario based approach for dealing withA scenario based approach for dealing with
A scenario based approach for dealing with
 
Introduction to machine learning
Introduction to machine learningIntroduction to machine learning
Introduction to machine learning
 
NE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISNE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSIS
 
An introduction to machine learning in biomedical research: Key concepts, pr...
An introduction to machine learning in biomedical research: Key concepts, pr...An introduction to machine learning in biomedical research: Key concepts, pr...
An introduction to machine learning in biomedical research: Key concepts, pr...
 

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!
 

Lec1-Into

Notes de l'éditeur

  1. During the past decade, a heterogeneous spectrum of data became available describing the genome: - Seq. Data -> similarities between proteins / genes - mRNA expression levels associated with a gene: under different experimental conditions