Given the interest in artificial intelligence, there are a lot of business leaders trying to understand as to what is machine learning. Here is an attempt to define what is machine learning using several ideas from companies and individuals from the field of artificial intelligence.
Cognition.Finance definition – What is Machine Learning?
“Machine learning is the art, science, and craft of teaching machines to consume, assimilate, and synthesize data to allow them to interpret, interact, and infer meaning and discern patterns as a human brain does. Machine learning is experiential, and data-driven and involves supervised as well as self-learning which allows the programs to refine and evolve.” – Cognition.Finance
In addition to our definition of what is machine learning here is a compilation of a variety of expert perspectives.
Machine Learning Definitions from across the Industry:
Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to “learn” (e.g., progressively improve performance on a specific task) with data, without being explicitly programmed – Wikipedia attributing to Arthur Samuel.
Machine learning is a subfield of artificial intelligence. Its goal is to enable computers to learn on their own. A machine’s learning algorithm enables it to identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. – Vishal Maini
Machine learning is based on algorithms that can learn from data without relying on rules-based programming. – McKinsey and Co.
Machine learning is the science of getting computers to act without being explicitly programmed. – Andrew NG
The field of Machine Learning seeks to answer the question
“How can we build computer systems that automatically improve with experience, and what
are the fundamental laws that govern all learning processes?” – Tom Mitchell, Carnegie Mellon University
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. – SAS
Advanced machine learning algorithms are composed of many technologies (such as deep learning, neural networks, and natural language processing), used in unsupervised and supervised learning, that operate guided by lessons from existing information. – Gartner
Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. – IBM
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. – ExpertSystem.com