Artificial Intelligence Course - Free Courses
Artificial Intelligence Course - Free Courses Want to learn about Artificial Intelligence? Look no f...
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let's break down each term:
Artificial Intelligence (AI): AI refers to the simulation of human intelligence in machines that are programmed to think and act like humans. It encompasses a wide range of techniques and approaches aimed at creating systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
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Machine Learning (ML): Machine learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to learn and improve their performance on a specific task without being explicitly programmed. Instead of relying on explicit instructions, machine learning algorithms learn from data, identify patterns, and make decisions or predictions.
Deep Learning: Deep learning is a specialized subset of machine learning that involves algorithms known as artificial neural networks, which are inspired by the structure and function of the human brain. Deep learning algorithms are capable of learning representations of data through multiple layers of abstraction, allowing them to automatically discover patterns or features from raw data. Deep learning has been particularly successful in tasks such as image and speech recognition, natural language processing, and playing games.
Data Science: Data science is an interdisciplinary field that combines elements of statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data. Data scientists use various techniques, including statistical analysis, machine learning, data mining, and visualization, to uncover patterns, trends, and correlations in large datasets. The ultimate goal of data science is to turn raw data into actionable insights that can drive decision-making and solve complex problems across different domains.
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