… These advances in machine learning are not a prototype for “artificial general intelligence”:
a broad general-purpose intelligence that can, like the human brain, independently be …

… The major contemporary research directions in machine learning covered in this book
include: learning from examples, modeling human learning strategies, knowledge acquisition for …

… with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning
(DL) technologies in recent years. Artificial intelligence is a multidimensional technology with …

… , sensors and social media users, the machine can learn to distinguish the pattern and …
of machine learning and its methodologies. Furthermore, the field of deep learning which is …

… friends' photos, that's also machine learning. Spam filters in email saves … learning algorithm.
In this paper, a brief review and future prospect of the vast applications of machine learning …

… the enormous potential of artificial intelligence and deep learning. Furthermore, self-driving …
artificial intelligence. In this article, we look at trust in artificial intelligence, machine learning (…

… This section reviews the gains in artificial intelligence, machine learning, and deep learning.
The information presented is valuable especially for those interested in these sciences. …

… , learning intricate patterns from even high-dimensional raw data with little guidance6 and
continuously improving. how might machine learning and deep learning … machine learning to …

… deep learning (DL) are all important technologies in the field of robotics [1]. The term artificial
intelligence (AI) describes a machine's … A branch of AI known as "machine learning" uses …

… theoretical and practical approaches for designing machines that learn from data acquired
… data analysis, machine learning, robotics, cognitive science and artificial intelligence. This …