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AI & ML

01.

Natural Language Processing

NLP techniques enable computers to understand, interpret, and generate human language, facilitating applications.

02.

Recommendation Systems

ML algorithms are used to analyze user preferences & behavior to provide personalized recommendations for products, movies, music, articles.

03.

Computer Vision

ML algorithms are used to analyze and interpret images and videos, enabling applications such as facial recognition, object detection.

04.

Autonomous Vehicles

ML techniques are used to develop self-driving cars and other autonomous systems that can perceive their environment, make decisions.

AI & ML

AI (Artificial Intelligence) and ML (Machine Learning) are two closely related fields that are revolutionizing numerous industries by enabling computers to perform tasks that typically require human intelligence. Uses of AI include virtual assistants (e.g., Siri, Alexa), recommendation systems, autonomous vehicles, gaming, chatbots, fraud detection. Uses of ML include predictive analytics, pattern recognition, image and speech recognition, natural language processing.

 

Artificial Intelligence (AI)

AI refers to the simulation of human intelligence in machines, enabling them to perform tasks such as learning, reasoning, problem-solving, perception, and language understanding.

Machine Learning (ML)

ML is a subset of AI that focuses on developing algorithms and techniques that allow computers to learn from data and improve their performance.

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Common applications and use cases of AI/ML include

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Recommendation Systems
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Predictive Analytics
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Natural Language Processing
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