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Machine Learning

Machine learning is a data analysis tool that automates the creation of analytical models. CybrHawk use custom on demand Machine Learning using supervised learning.

Machine learning

Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them.

How machine learning works

In general, machine learning algorithms are used to make a prediction or classification. Based on some input data, which can be labelled or unlabeled, your algorithm will produce an estimate about a pattern in the data.
An error function serves to evaluate the prediction of the model. If there are known examples, an error function can make a comparison to assess the accuracy of the model.
If the model can fit better to the data points in the training set, then weights are adjusted to reduce the discrepancy between the known example and the model estimate. The algorithm will repeat this evaluate and optimize process, updating weights autonomously until a threshold of accuracy has been met.
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What Is Machine Learning?

Machine learning is a data analysis tool that automates the creation of analytical models. It is a branch of artificial intelligence based on the idea that, with minimal human intervention, systems can learn from data, identify patterns and make decisions.

CybrHawk use custom on demand Machine Learning using supervised learning.

Benefits of Machine Learning

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