Machine learning is the catalyst for a strong, flexible, and resilient enterprise. Smart organizations choose ML to generate top-to-bottom growth, employee productivity, and customer satisfaction. Many enterprises achieve success with a few ML use cases, but that’s really just the beginning of th...
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...
In this McKinsey Explainer, we look at what machine learning is, how ML technology is currently being used, and its connection to generative AI.
Sincedeep learningand machine learning tend to be used interchangeably, it’s worth noting the nuances between the two. Machine learning, deep learning, andneural networksare all sub-fields of artificial intelligence. However, neural networks is actually a sub-field of machine learning, and deep l...
What is Machine Learning (ML)? 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...
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...
Machine learning (ML) is literally just that –“letting the machine learn”. The definition of machine learning is “the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and...
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...
Machine learning (ML) is the subset of artificial intelligence (AI) that focuses on building systems that learn—or improve performance—based on the data they consume. Artificial intelligence is a broad term that refers to systems or machines that mimic human intelligence. Machine learning and AI...
Machine learning (ML) is the subset of artificial intelligence that focuses on building systems that learn—and improve—as they consume more data. Artificial intelligence is a broader term that refers to systems or machines that mimic human intelligence. Machine learning and AI are often discussed...