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Margaryta Ostapchuk
Developer Experience and Evangelism
Microsoft Ukraine
mostap@microsoft.com
1. Machine learning basics and definitions
2. Machine learning algorithms
3. Examples and demos
azure.com





Bottom Line: Most algorithms can be applied to a variety of problems
Algorithm Binary Classification
in Azure ML
Multiclass Classification
in AzureML
Regression in
Azure ML
Logistic Regression Two-class logistic
regression
Multiclass Logistic
Regression
Linear Regression Linear Regression
Support Vector Machine Two-class support
vector machine
One-vs-all + support
vector machine
Decision Tree Two-class boosted
decision tree
One-vs-all + boosted
decision tree
Boosted decision
tree regression
Neural Network Two-class neural
network
Multiclass neural network Neural network
regression
Random Forest Two-class decision
forest
Multiclass decision forest Decision forest
regression



AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"
AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"

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AI&BigData Lab. Маргарита Остапчук "Алгоритмы в Azure Machine Learning и где их лучше применять"

  • 1. Margaryta Ostapchuk Developer Experience and Evangelism Microsoft Ukraine mostap@microsoft.com
  • 2. 1. Machine learning basics and definitions 2. Machine learning algorithms 3. Examples and demos
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  • 12. Bottom Line: Most algorithms can be applied to a variety of problems Algorithm Binary Classification in Azure ML Multiclass Classification in AzureML Regression in Azure ML Logistic Regression Two-class logistic regression Multiclass Logistic Regression Linear Regression Linear Regression Support Vector Machine Two-class support vector machine One-vs-all + support vector machine Decision Tree Two-class boosted decision tree One-vs-all + boosted decision tree Boosted decision tree regression Neural Network Two-class neural network Multiclass neural network Neural network regression Random Forest Two-class decision forest Multiclass decision forest Decision forest regression
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