BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). colibri-core - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way. CRF++ ...
scikit-learnis a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See theAbout uspage for a...
I'm new in machine learning and I'm trying to create a model which will identify data into accurate Item Code from Item description. I'm approaching it as a multiclass classification problem. The problem is, the Item Code can be over 1000s. My… ...
A common use of unsupervised machine learning is recommendation engines, which are used in consumer applications to provide “customers who bought that also bought this” suggestions. When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection....
A common use of unsupervised machine learning is recommendation engines, which are used in consumer applications to provide “customers who bought that also bought this” suggestions. When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection....
ROC AUC takes this into account and provides a more accurate indication of how likely it is that a prediction of on-timeorlate will be correct. You can learn more about the model's behavior by generating aconfusion matrix, also known as anerror matrix. The confusion matrix quantifies the...
Virtualization is made possible with ahypervisor, also known as a virtual machine monitor (VMM). This lightweight software layer manages virtual machines as they run alongside each other. The birth of virtualization goes back to 1964, when IBM designed and introduced CP-40, an experimental time-...
It is possible to call the machine learning libraries that are installed for SQL Server from an external application, such as RGui. Doing so might be the most convenient way to accomplish certain tasks, such as installing new packages, or running ad hoc tests on very sho...
(conservative, moderate, liberal) from their age and annual income. This is called a classification problem. The idea is to take some data with known values and create a prediction model. Here, you can think of the model as a kind of complex math function that accepts two numeric input ...
Supervised learningalgorithms are trained using labeled examples, such as an input where the desired output is known. For example, a piece of equipment could have data points labeled either “F” (failed) or “R” (runs). The learning algorithm receives a set of inputs along with the corres...