… machine-learning techniques. This paper presents the most commonly used machine learning
techniques … the results of various machine-learning techniques depends on application …

… on the different types of learning paradigms in the two main categories: supervised learning
and unsupervised learning. The machine learning techniques discussed in this paper …

… machine learning techniques which are used in analyzing the sentiments and in opinion
mining. Sentimental analysis with the blend of machine learning … machine learning techniques …

… Machine learning techniques are able to examine and to … Although the number of potential
applications for these techniques … A general overview of machine learning techniques, with a …

The growing volume of information databases presents opportunities for advanced data
analysis techniques from machine learning (ML) research. Practical applications of ML are very …

… of machine-learning techniques in the manufacturing domain. This paper evaluates several
machine-learning techniques and … learning, which is among the most mature of the machine-…

… in the application of machine learning techniques (MLT) as … and requires the use of hybrid
techniques. A brief review of … that employ these techniques has considerably increased, in …

… 2 Machine learning The essence of machine learning is to compile the data we observe with
… Machine learning provides a solution for this task which we provide examples of the emails …

… mining classification by using the machine learning techniques is presented. The machine
learning techniques like decision tree and support vector machine play the important role in …

… literature surveys on machine learning (ML) and deep learning (DL) techniques for network
… paper highlights the datasets used in machine learning techniques, which are the primary …