Select the components of Al from the list below. (Select all that apply.)
Machine Learning
Computer Vision
Neuro Linguistic Programing
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2/5
Deep Learning
Data Processing.
Answers
Answer:
Machine Learning
Computer Vison
Deep Learning
Answer:
The components of AI are:
Deep Learning
Computer Vision
Machine Learning
Explanation:
Machine learning:
Machine learning is a branch of artificial intelligence that enables systems to learn from data and make predictions or decisions without explicit instructions. Machine learning algorithms are used to identify patterns in data, classify and cluster data, and detect anomalies. There are three main types of machine learning, these are supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the model is trained on labeled data, where the desired output is already known. In unsupervised learning, the model is not provided with labeled data and must find patterns or structures in the input data. Reinforcement learning is a type of learning in which the agent learns to make a sequence of decisions by interacting with its environment.
Deep Learning:
Deep learning is a subset of machine learning in which neural networks, specifically deep neural networks, are used to model and solve complex problems. These neural networks are composed of multiple layers, hence the name "deep." Deep learning models are able to automatically learn and improve from experience without being explicitly programmed. They are used in a wide range of applications, such as image and speech recognition, natural language processing, and self-driving cars. Some popular deep learning models include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks.
Computer Vision:
Computer vision is a field of study that focuses on how computers can be made to understand and interpret visual information from the world, such as images and videos. It involves the development of algorithms and techniques for extracting meaningful information from visual data. The goal of computer vision is to enable computers to interpret and understand the visual world in the same way that humans do. Applications of computer vision include image recognition, object detection, facial recognition, self-driving cars, and medical image analysis. Deep learning, especially Convolutional Neural Networks (CNNs), is widely used in computer vision tasks because of its ability to automatically learn features from data.
To learn more about machine learning, click on the link below:
https://brainly.in/question/29831009
To learn more about computer vision, click on the link below:
https://brainly.in/question/53121946
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