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Machine Learning : Concept, Applications and Technology

Introduction to Machine Learning
by

Aniket Dalal

on 7 January 2013

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Transcript of Machine Learning : Concept, Applications and Technology

Learning A process providing an ability
to make decision Experience Learning to Drive Opinions Professional Skills Rules of Driving Car. Knowledge You can pass a written driving test but you cannot drive Culture, Traditions and Religious Belief's More you drive better you get. Your own belief system based on experience Technical, Managerial and Administrative Rules Instructions To do Not To Do Regulations Law of the Land What to do and what not to do!! Rules and Regulations Social Personal Spiritual Professional Machine Learning Help machine learn from Knowledge & Experience Machine Learning Natural Language Processing Artificial Intelligence Information Retrieval Neural Networks Data Mining Web Mining Ontology and Semantic Analysis Data Mining Classification Clustering Clustering Classification Classification : Machines ability to make decision Outcome Features F( X ) Binary Classifier : Outcome is either True/False Age Gender Body
Temp Head Ache
Intensity Features Outcome Consultation
Required 29 M 102 YES 35 M 99 3 NO 65 F 5 YES DATA SET Training Data Test Data Split Data Set 80 : 20 Ratio 75 : 25 Ratio Body Temperature Head Ache Intensity 3 99 Training Data Distribution Body Temperature Head Ache Intensity Learning Linear Separator Body Temperature Head Ache Intensity Testing and Evaluation Clustering : Machines ability to identify similar item sets. Clusters Features F( X ) Age Gender Body
Temp Head Ache
Intensity Features 29 M 102 35 M 99 3 65 F 5 DATA SET 3 99 Body Temperature Headache Intensity Data set distribution Body Temperature Headache Intensity Data Clustering Number of clusters
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