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Pradeep Singh
Fundamentals and Methods of Machine and Deep Learning
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Страница 1
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
Страница 7
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Страница 11
1
Supervised Machine Learning: Algorithms and Applications
1.1 History
1.2 Introduction
1.3 Supervised Learning
1.4 Linear Regression (LR)
1.4.1 Learning Model
1.4.2 Predictions With Linear Regression
1.5 Logistic Regression
1.6 Support Vector Machine (SVM)
1.7 Decision Tree
1.8 Machine Learning Applications in Daily Life
1.8.1 Traffic Alerts (Maps)
1.8.2 Social Media (Facebook)
1.8.3 Transportation and Commuting (Uber)
1.8.4 Products Recommendations
1.8.5 Virtual Personal Assistants
1.8.6 Self-Driving Cars
1.8.7 Google Translate
1.8.8 Online Video Streaming (Netflix)
1.8.9 Fraud Detection
1.9 Conclusion
References
Страница 34
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Zonotic Diseases Detection Using Ensemble Machine Learning Algorithms
2.1 Introduction
2.2 Bayes Optimal Classifier
2.3 Bootstrap Aggregating (Bagging)
2.4 Bayesian Model Averaging (BMA)
2.5 Bayesian Classifier Combination (BCC)
2.6 Bucket of Models
2.7 Stacking
2.8 Efficiency Analysis
2.9 Conclusion
References
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