AI News, Machine Learning FAQ

Machine Learning FAQ

Instead of coming up with the rules to automate a task such as e-mail spam filtering ourselves, we feed data to a machine learning algorithm, which figures out these rules all by itself.

In this context, “data” shall be representative sample of the problem we want to solve – for example, a set of spam and non-spam e-mails so that the machine learning algorithm can “learn from experience.” In “conventional” programming, we code up a set of rules, feed it to the computer together with the data, and hope that it produces the desired results.

traditional programming: In machine learning, we take data (e.g., e-mails), provide information about the desired results (spam and non-spam labels for these e-mails), and feed it to a learning algorithm, which in turn executed by a computer.

Proposed efficient algorithm to filter spam using machine learning techniques

Various methods have been developed to filter spam, including black list/white list, Bayesian classification algorithms, keyword matching, header information processing, investigation of spam-sending factors and investigation of received mails.

This study describes three machine-learning algorithms to filter spam from valid emails with low error rates and high efficiency using a multilayer perceptron model.

Machine Learning FAQ

Instead of coming up with the rules to automate a task such as e-mail spam filtering ourselves, we feed data to a machine learning algorithm, which figures out these rules all by itself.

In this context, “data” shall be representative sample of the problem we want to solve – for example, a set of spam and non-spam e-mails so that the machine learning algorithm can “learn from experience.” In “conventional” programming, we code up a set of rules, feed it to the computer together with the data, and hope that it produces the desired results.

traditional programming: In machine learning, we take data (e.g., e-mails), provide information about the desired results (spam and non-spam labels for these e-mails), and feed it to a learning algorithm, which in turn executed by a computer.

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