… : Machine learning (ML) is the scientific study of algorithms … Learning algorithms in many
applications that’s we make use of … applications of machine learning algorithms has been made. …

… of supervised machine learning algorithms in terms of the accuracy, speed of learning, …
this paper is to provide a general comparison with state of art machine learning algorithms. …

… naturally invite the use of machine learning algorithms into optimizing and automating these
… The ability of machine learning algorithms to learn from current context and generalize into …

… is a branch of statistics known as computational learning theory. Machine learning is about
designing algorithms that allow a computer to learn. Learning is not necessarily involves …

… Machine learning addresses the question of how to build computers that improve … in machine
learning has been driven both by the development of new learning algorithms and theory …

… machine learning algorithms … machine learning algorithms from their application perspective
to aid in an informed decision making towards selecting the appropriate learning algorithm …

… Hence, if our learning algorithm nds a consistent hypothesis ^… Now suppose we have an
excellent learning algorithm that … the hypothesis found by the algorithm has su ciently small index…

… This book focuses on the supervised and unsupervised machine learning techniques. We
provide a set of MATLAB programs to implement the various algorithms that are discussed in …

… In this section, we focus on some popular machine learning algorithms from the different
paradigms [4, 5, 6, 16] explained in the preceding section. Although the number of algorithms …

… Moreover, it's possible to introduce a fundamental statement: an algorithm can extrapolate
… common approaches to machine learning. Mathematical models, algorithms, and practical …