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About Artificial Intelligence, Machine Learning, Deep Learning & Data Science
This document provides definitions and explanations of key concepts in artificial intelligence (AI), machine learning (ML), deep learning, and data science. It begins by defining AI and its two main types: strong/general AI and narrow/weak AI. It then explains how AI works and lists some major subfields like machine learning, neural networks, deep learning, computer vision, and natural language processing. The document goes on to define machine learning, its life cycle, and some applications. It also defines neural networks, their history, and how they relate to AI. Deep learning is introduced as a type of neural network using many layers to learn complicated patterns from large amounts of data. Data science is briefly defined as using statistical analysis and machine learning
Detailed Information
| Author: | ['leocj'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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