Dig Deep With Azure Machine Learning

Use data analysis to take your business to a whole new level.

Microsoft Azure Machine Learning simplifies data analysis and
empowers you to find the answers your business needs.

The question isn’t whether you can find the answers.
The question is how.

So, what do you want to find out?

I want to:

Predict values

Forecast the future by estimating the relationship between variables.

Just some of the options:

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Estimate product demand

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Predict sales figures

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Determine equipment servicing priorities

Find unusual occurrences

Identify and predict rare or unusual data points.

Just some of the options:

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Predict credit risk

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Detect fraud

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Catch abnormal equipment readings

Discover structure

Separate similar data points into intuitive groups.

Just some of the options:

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Perform customer segmentation

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Predict customer tastes

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Determine which products fail the same way

Predict between two categories

Answers simple, two-choice questions, like yes-or-no, true-or-false.

Just some of the options:

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Is this tweet positive?

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Will this customer renew their service?

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Which of two coupons draws more customers?

Predict between several categories

Answers complex questions with multiple possible answers.

Just some of the options:

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What is the mood of this tweet?

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Which service will this customer choose?

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Which of several promotions draws more customers?

Regression

Regression


Let regression analysis be your crystal ball.

Algorithm Options:

Ordinal regression

Ordinal regression

Data in rank ordered categories

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Poisson regression

Poisson regression

Predicts event counts

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Fast forest quantile regression

Fast forest quantile regression

Predicts a distribution

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Linear regression

Linear regression

Fast training, linear model

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Bayesian linear regression

Bayesian linear regression

Linear model, small data sets

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Neural network regression

Neural network regression

Accurate, long training times

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Decision forest regression

Decision forest regression

Accurate, fast training times

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Boosted decision tree regression

Boosted decision tree regression

Accurate, fast training times, large memory footprint

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Anomaly Detection

Anomaly Detection


Notice anything strange in that sea of data? You might not, but Azure Machine Learning will.

Algorithm Options:

One class SVM

One class SVM

Under 100 features, aggressive boundary

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PCA-based anomaly detection

PCA-based anomaly detection

Fast training times

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Clustering

Clustering


Are you having trouble making sense of a heaping pile of information? Azure Machine Learning can break it down for you.

Algorithm Options:

K-Means

K-Means

Unsupervised learning

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Two-Class Classification

Two-Class Classification


Will they or won’t they? With these algorithms, you might be able to predict the result.

Algorithm Options:

Two-class SVM

Two-class SVM

Under 100 features, linear model

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Two-class averaged perceptron

Two-class averaged perceptron

Fast training, linear model

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Two-class Bayes point machine

Two-class Bayes point machine

Fast training, linear model

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Two-class decision forest

Two-class decision forest

Accurate, fast training

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Two-class logistic regression

Two-class logistic regression

Fast training, linear model

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Two-class boosted decision tree

Two-class boosted decision tree

Accurate, fast training, large memory footprint

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Two-class decision jungle

Two-class decision jungle

Accurate, small memory footprint

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Two-class locally deep SVM

Two-class locally deep SVM

Under 100 features

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Two-class neural network

Two-class neural network

Accurate, long training times

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Multiclass Classification

Multiclass Classification


We live in a complex world. Let these algorithms answer your complex questions.

Algorithm Options:

Multiclass logistic regression

Multiclass logistic regression

Fast training times, linear model

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Multiclass neural network

Multiclass neural network

Accuracy, long training times

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Multiclass decision forest

Multiclass decision forest

Accuracy, fast training times

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Multiclass decision jungle

Multiclass decision jungle

Accuracy, small memory footprint

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One-vs-all multiclass

One-vs-all multiclass

Depends on the two-class classifier

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