Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Although general large language models (LLMs) have achieved widespread application in areas like content creation and conversational interaction due to their strong text understanding and generation ...

Artificial intelligence is in the news more and more these days as the powers of AI are expanding by leaps and bounds at a pace even faster than was predicted ...

Artificial intelligence (AI) has become a foundational technology across countless industries, but the question of when machine-learning (ML) inventions are patent-eligible remains a nebulous target.

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

ABSTRACT: This paper, based on the second language acquisition theories Perception Assimilation Model on L2 (PAM-L2) and Speech Language Model (SLM), as well as theories of Language Transfer and ...

Abstract: Are you interested in trying new food and exploring new places, but unsure where to start? This research uses machine learning to predict restaurant ratings. The article compares two options ...