In this McKinsey Explainer, we look at what machine learning is, how ML technology is currently being used, and its connection to generative AI.
Machine learning (ML) is a branch ofartificial intelligence (AI)focused on enabling computers and machines to imitate the way that humans learn, to perform tasks autonomously, and to improve their performance and accuracy through experience and exposure to more data. ...
Machine learning (ML) is a subset ofartificial intelligence(AI) that uses mathematicalalgorithmsanddatato imitate the way humans learn from experience. The objective of machine learning is to make informed decisions or predictions based on past interactions with similar types of data. The goal of m...
Deep learning is a particular branch of machine learning that takes ML’s functionality and moves beyond its capabilities. With machine learning in general, there is some human involvement in that engineers can review an algorithm’s results and make adjustments to it based on their accuracy. Deep...
Machine learning is a subset of AI that mimics the way humans learn and enables systems to complete tasks based on patterns in data.
Deep learning is a specialized form of machine learning, using neural networks (NN) to deliver answers. Able to determine accuracy on its own, deep learning classifies information like a human brain—and powers some of the most human-like AI.The benefits of machine learning Machine learning ha...
Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.
Machine Learning (ML)is a sub-branch ofArtificial Intelligence (AI)that enables computers to learn, adapt, and perform the desired functions on their own. MLalgorithmscan learn patterns from the previous input and results and adjust tasks accordingly. Machine learning can be categorized in one of...
What is the difference between AI and ML? Artificial intelligence (AI) is a broad field that refers to the ability of a machine to complete tasks that typically require human intelligence. Machine learning (ML) is a subfield of artificial intelligence that specifically refers to machines that can...
机器学习(Machine Learning, ML)是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心,是使计算机具有智能的根本途径,其应用遍及人工智能的各个领...