Machine Learning in the Database

Steve talks about Machine Learning Services in SQL Server and whether using this is a good idea.

Machine Learning Services languages

What is the Machine Learning Server? Level 2 of the Stairway to ML Services

In Level 2, we look at the architecture and structure of the Machine Learning Services server process.

Installing Machine Learning Services – Level 1 of the Stairway to ML Services

This first installment of the Stairway to Machine Learning Services explains the installation process for this subsystem in SQL Server.

Machine Learning Users

Stairway to Machine Learning Services

This is a series designed to help you learn more about Machine Learning Services using both R and Python. We will cover the architecture, installation, configuration, and use of Machine Learning Services to run complex analysis on your data.

SQL Server Machine Learning Services – Part 6: Merging Data Frames in Python

In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.

SQL Server Machine Learning Services – Part 5: Generating multiple plots in Python

Visualization is often the first step in analyzing data. Python makes visualization easy. In this article, Robert Sheldon demonstrates how to generate multiple charts from one dataset using Python with SQL Server Machine Learning Services.

SQL Server Machine Learning Services – Part 4: Finding Data Anomalies with Python

Python is widely used to analyze data. One such use is to find anomalies or outliers. In this article, Robert Sheldon demonstrates how to create a support vector machine (SVM) to score test data so that outliers can be viewed on a scatter plot.

SQL Server Machine Learning Services – Part 3: Plotting Data with Python

One of the advantages of running Python from SQL Server is the ability to create graphics to assist in analysis of data. Robert Sheldon demonstrates matplotlib, a 2D plotting library, widely used with Python to create quality charts.