To accomplish this, experiments were conducted on spam dataset downloaded from the UCI machine learning repository which was classified using a popular data mining tool called WEKA.

So I would expect, especially in a RankBrain world, Google will be making spam detection and search quality more machine learning based in the near future.

By James McCaffrey 09/03/2024 Get Code Download AdaBoost ("adaptive boosting") is a powerful machine learning technique for binary classification -- predicting a variable that has two possible values.

Before it makes a decision, the method combines K nearest neighbors, support vector machine, and decision tree learning. Accuracy is reportedly up to 89%.

The Telecom Regulatory Authority of India (TRAI) directed all access providers to deploy AI and Machine Learning based spam detection system.

Google has been using AI to train spam filters in Gmail for years, but the company is now also using its in-house machine learning framework called TensorFlow to help. As a result, Google claims ...