… of software development using Machine-Learning Techniques (MLT). Machine learning in
… Machine learning system effectively “learns” how to estimate from training set of completed …

… Then the implemented machine learning techniques have been discussed in detail. The …
a framework (parameters, techniques, available database, machine learning techniques, etc.) …

… Machine learning tools, in particular support vector machines (SVM), Particle Swarm …
increasingly used in pharmaceuticals research and development. They are inherently suitable for …

… Techniques based on machine learning have been applied successfully in diverse fields …
machine learning can be traced to the seventeenth century and the development of machines …

… Futurists have anticipated that novel autonomous technologies, embedded with machine
learning (ML), will substantially influence healthcare. ML is focused on making predictions as …

… There is a lot of talk about AI nowadays, but what AI means, in simple terms, is machine
learning. Machine learning is what allows a machine … Supervised Learning and Deep Learning …

… Machine learning techniques such as Markov model [22], Support vector machine [23], …
In this paper, we used Naive Bayes machine learning Technique to predict the heart failure …

… machine learning predictive models to shed new light on other areas related to sustainable
development, … the extrapolation of the machine learning predictive technique to a wider group …

… machine learning techniques, and to examine whether data sampling approaches that
generate balanced training sets, could improve the relative performance of these techniques. In …

… statistical machine learning algorithms and techniques to … to apply statistical machine learning
algorithms and techniques to a … machine learning as a tool for software development: (1) …