Machine learning - Wikipedia
WebMachine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.
What Is Machine Learning? Definition, Types, and Examples
WebMar 27, 2024 · Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations.
What Is Machine Learning (ML)? | IBM
WebWhat is ML? Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
Machine learning, explained | MIT Sloan
WebApr 21, 2021 · What is machine learning? Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
Introduction to Machine Learning - MIT OpenCourseWare
WebIntroduction to Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare. Online Publication. Course Description. This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.
Machine Learning | Google for Developers
WebReady to start practicing machine learning? Learn and apply fundamental machine learning concepts with the Crash Course, get real-world experience with the companion Kaggle competition, or...
What is Machine Learning? | Google for Developers
WebJan 11, 2024 · What is Machine Learning? Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles. This course explains the core concepts...
Machine Learning Specialization [3 courses] (Stanford) | Coursera
WebThe Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
Introduction to Machine Learning | Google for Developers
WebSep 12, 2023 · Machine Learning. Foundational courses. Crash Course. Introduction to Machine Learning. This module introduces Machine Learning (ML). Estimated Time: 3 minutes. Learning Objectives....
Machine learning education | TensorFlow
WebTo become an expert in machine learning, you first need a strong foundation in four learning areas: coding, math, ML theory, and how to build your own ML project from start to finish. Begin with TensorFlow's curated curriculums to improve these four skills, or choose your own learning path by exploring our resource library below.
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