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

… Although considerable challenges remain, the coming decade promises substantial
advances in artificial intelligence and machine learning based on the probabilistic framework. …

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

… Artificial intelligence and machine learning in lower extremity … recent applications of artificial
intelligence and machine learning–… of machine learning, and (3) examine the progression of …

… , 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 …

… does not seem very intelligent. Accordingly, it is easier to get a feel for artificial intelligence
(AI) by … In this article we will focus on techniques of machine learning, a phenomenon that we …

… The area of artificial intelligence and machine learning has exploded over the last decade.
With the widespread popularity, the core concepts in the field have been sometimes diluted …

… , 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 …

… 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 …