AzureML

A collaborative, drag-and-drop tool that you can use to build, test, and deploy predictive analytics solutions on your data.

• Azures Machine Learning

• Google Machine Learning

• Azure Machine Learning

• Machine Learning

Azure ML is GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

• True

• False

Publishes models as web services that can easily be consumed by custom apps or tools such as MS Word.

• True

• False

A set of data, statistics, and patterns than can be applied to new data to generate predictions and make inferences about relationships. A representation of reality

• DATA SCIENCE

• STATISTICS

• MACHINE LEARNING ALGORITHMS

• MODEL

Extracting knowledge from data.

• DATA SCIENCE

• STATISTICS

• MACHINE LEARNING ALGORITHMS

• MODEL

  Computer algorithms that can grow and change when exposed  to new data.

• DATA SCIENCE

• STATISTICS

• MACHINE LEARNING ALGORITHMS

• MODEL

Collecting and analyzing numerical data

For the purpose of inferring proportions in a whole from those in representative sample.

• DATA SCIENCE

• STATISTICS

• MACHINE LEARNING ALGORITHMS

• MODEL

Group items based on common features

  Example: Customers with similar buying patterns

• REGRESSION

• CLASSIFICATION

• ANOMALY DETECTION

• CLUSTERING

Binary outcome or category

  Example: Spam, will a customer buy/leave, movie rating

• REGRESSION

• CLASSIFICATION

• ANOMALY DETECTION

• CLUSTERING

The 2nd Step on 6 steps to Azure ML

• Get the Data

• Model the Data

• Clean the Data

• Deploy the model