… machine learning is to instruct computers to use data or past experience to solve a given
problem. A good number of successful applications of machine learning … Machine learning can …

… broad spectrum of applications for machine-learning methods in computer-… approaches
and to highlight their applications. Here, I survey the most popular machine-learning approaches …

… In this paper, we systematically reviewed the emerging field of using a machine learning
approach for precision education. After a series of screening steps, a total of 40 studies …

… On the basis of two Workshops on Learning in … machine learning techniques that seem to
be applicable in realizing systems with intelligent behavior. Symbolic, subsymbolic approaches …

… Importantly, the translational machine learning approaches discussed in this paper explicitly
aim to produce models that are sufficiently meaningful, accurate, and generalizable to be …

… Machine learning approaches (eg, neural networks, hidden … The goal in machine learning
is to extract useful information … present the key machine learning approaches and apply them …

… But, supervised learning approaches are simpler than unsupervised learning approaches.
This paper reviews the supervised learning approaches which are widely used in data …

… However, the application of machine learning approaches in … such large scale data in one
machine learning model. Furthermore, due … This casts a challenge in machine learning model …

… , including such Machine Learning methods. The Machine Learning method likes to work
with immediate input from the training sample after learning the foundational patterns in the …

… general tree-construction approach can be adapted for direct manipulation of a continuous
dependent dimension. This is also the case with the learning approach that we describe next. …