?What is the difference between supervised and unsupervised learning in AI

Supervised Learning: In supervised learning, the model is trained using labeled data, meaning each input has a corresponding output. The goal is to predict the output for new data. Example: Predicting house prices based on historical data. Unsupervised Learning: In unsupervised learning, the model is trained using unlabeled data, and the goal is to find patterns or groupings within the data. Example: Customer segmentation based on purchasing behavior.

?What is the Turing Test in Artificial Intelligence

The Turing Test, proposed by Alan Turing, evaluates a machine's ability to exhibit intelligent behavior indistinguishable from that of a human. If a machine can engage in a conversation with a human without the human realizing it’s a machine, it is considered to have passed the test. This test is a foundational concept in AI to measure its advancement in mimicking human intelligence.

Artificial intelligence questions basics

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Artificial intelligence questions , in this course is designed to provide a deep dive into Artificial Intelligence (AI) through a comprehensive set of questions and explanations. Covering topics like machine learning algorithms, neural networks, deep learning, natural language processing, and computer vision, it helps students and professionals grasp AI's core concepts. You'll explore advanced topics such as reinforcement learning, Bayesian networks, AI optimization techniques, and ethical considerations in AI development. Through practical examples and scenario-based questions, this course ensures a strong understanding of AI applications in fields like healthcare, robotics, and predictive analytics. Perfect for anyone looking to solidify their AI knowledge and prepare for real-world challenges.

Artificial intelligence questions basics

Artificial Intelligence

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