Inteligencia
Artificial
How does artificial intelligence (AI) work?
By using mathematics and logic, a computer system simulates the reasoning people follow to learn from new information and make decisions.
A computer system with artificial intelligence makes predictions or performs actions based on the patterns of the available data and can learn from its mistakes to be more accurate. Advanced artificial intelligence processes new information very quickly and accurately, making it very useful for complex scenarios such as driverless cars, image recognition programs, and virtual assistants.
Relationship between artificial intelligence and robotics
Normally, a robot has a physical form and the software that controls it. Robots controlled with artificial intelligence software move autonomously, they do not need direct instructions from a user. But not all robots are controlled with artificial intelligence, nor does all artificial intelligence require a physical form.
Relationship between artificial intelligence and machine learning
Machine learning is considered a subset of AI. Machine learning focuses on training computer teams to analyze data and learn in that process just like people do. Therefore, machine learning is a technique that helps to develop artificial intelligence systems.
Relationship between artificial intelligence and cognitive APIs
APIs (application programming interfaces) connect applications to other systems, services, or applications. When using cognitive APIs, access to a library of domain-specific intelligent models is requested.
Relationship between artificial intelligence and data science
Both artificial intelligence and data science involve gathering, analyzing, and collecting large data sets, but they have different goals. Artificial intelligence focuses on how computer teams can make decisions based on data. Data science, on the other hand, focuses on using mathematics, statistics, and machine learning to extract insights from data.
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A complete family of customizable cognitive APIs for vision, voice, language, and decision making.
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A complete platform for creating, training and implementing Machine Learningmodels.
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Make ARTIFICIAL intelligence a reality today for your business in the cloud and at the edge
| Only Azure extends its capability with the most advanced machine learning features. Build, train, and deploy your machine learning models quickly and easily with Azure Machine Learning and Azure Databricks. Use the latest tools, such as Jupyter and Visual Studio Code, along with frameworks such as PyTorch Enterprise, TensorFlow, and Scikit-Learn. Expand your data science teams and build models in less time with tools that require little or no programming work, such as machine learning and a drag-and-drop interface. In addition, you can easily deploy large-scale solutions with Azure Kubernetes Service (AKS) and optimize machine learning inference with the ONNX Runtime.se las herramientas más recientes, como Jupyter y Visual Studio Code, junto con marcos como PyTorch Enterprise, TensorFlow y Scikit-Learn. Amplíe sus equipos de ciencia de datos y cree modelos en menos tiempo con herramientas que requieren muy poco o ningún trabajo de programación, como el aprendizaje automático automatizado y una interfaz que permite arrastrar y colocar elementos. Además, puede implementar soluciones a gran escala fácilmente con Azure Kubernetes Service (AKS) y optimizar la inferencia de aprendizaje automático con ONNX Runtime. |  |
| Extract latent information from all your content – documents, images, and media files – with Azure Cognitive Search. Use the only cloud search service with built-in AI features to discover patterns and relationships in your content, understand sentiment, extract key phrases, and more. |
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| Convert documents into useful data in no time and at low cost by automating information extraction with Azure Form Recognizer. Accelerate document processing to accurately extract text, key-value pairs, tables, structures, and other useful information from documents. |
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