Overview
Artificial intelligence (AI) and machine learning (ML) are two interconnected yet distinct concepts in the field of computer science. While AI refers to the broader field of creating intelligent machines, ML is a subset of AI that focuses on developing algorithms and statistical models that enable machines to learn from data. In this comparison, we will delve into the key differences and similarities between AI and ML, exploring their applications, strengths, and weaknesses. With the rise of [[deep-learning|deep learning]] and [[natural-language-processing|natural language processing]], the lines between AI and ML have become increasingly blurred. However, understanding the fundamental differences between these two concepts is crucial for [[business-leaders|business leaders]] and [[data-scientists|data scientists]] alike. According to a report by [[mcKinsey-company|McKinsey Company]], the adoption of AI and ML can lead to significant improvements in [[operational-efficiency|operational efficiency]] and [[customer-experience|customer experience]].