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  • Embrace R @ SQL Nexus 2017 & SQL Saturday #626

    R is the hottest topic in SQL Server 2016. If you want to learn how to use it for advanced analytics, join my seminar at SQL Nexus conference on my 1st in Copenhagen. Although there is still nearly a month before the seminar, there are less than half places still available. You are also very welcome to visit my session Using R in SQL Server, Power ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on April 2, 2017
  • Data Mining Algorithms – Neural Network

    A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform "intelligent" tasks similar to those performed by the human brain. Neural ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on January 26, 2016
  • Data Mining Algorithms – Naive Bayes

    I am continuing with my data mining and machine learning algorithms series. Naive Bayes is a nice algorithm for classification and prediction. It calculates probabilities for each possible state of the input attribute, given each state of the predictable attribute, which can later be used to predict an outcome of the predicted attribute based on ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on September 9, 2015
  • Data Mining Algorithms – Support Vector Machines

    Support vector machines are both, unsupervised and supervised learning models for classification and regression analysis (supervised) and for anomaly detection (unsupervised). Given a set of training examples, each marked as belonging to one of categories, an SVM training algorithm builds a model that assigns new examples into one category. An SVM ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on June 23, 2015
  • Fraud Detection with the SQL Server Suite Part 4

    This is the fourth part of the fraud detection whitepaper. You can find the first part, the second part, and the third part in my previous blog posts about this topic. Data Mining Models We create multiple mining models by using different algorithms, different input data sets, and different algorithm parameters. Then we evaluate the models in ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on December 10, 2013
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