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This picture shows how Intel DAAL processes the data.
== Code Examples Intel DAAL in handwritten digit recognition ==A very good type of machine learning problem is handwritten digit recognition. Intel DAAL does a good job at solving this problem by providing several relevant application algorithms such as Support Vector Machine (SVM), Principal Component Analysis (PCA), Naïve Bayes, and Neural Networks. Below there is an example that uses SVM to solve this problem. Recognition is essentially the prediction or inference stage in the machine learning pipeline.In simple words, given a handwritten digit, the system should be able to recognize or infer what digit was written. For a system to be able to predict the output with a given input, it needs a trained model learned from the training data set that provides the system with the capability to make an inference or prediction. The first step before constructing a training model is to collect training data. === Loading Data in Intel DAAL ===
== Sources ==
* [https://software.intel.com/en-us/blogs/daal Intel's Blog Post about Intel DAAL]
* [https://software.intel.com/en-us/daal-programming-guide Intel DAAL Guide Book]
* [https://www.codeproject.com/Articles/1151612/A-Performance-Library-for-Data-Analytics-and-Machi Handwritten Digit Recognition Example]
* [https://software.intel.com/en-us/comment/1916392#comment-1916392 Rosario's Question on the Intel Forum]
