AI Interview Questions and Answerss

Artificial Intelligence (AI) is a branch of computer science that aims to create systems capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

AI can be categorized into three types: Narrow AI (designed for specific tasks), General AI (can perform any intellectual task like a human), and Super AI (surpasses human intelligence).

Machine learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed, by using algorithms to analyze data, learn from it, and make predictions or decisions.

Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in data, often used in image recognition, speech processing, and NLP.

AI is the broader field of creating intelligent systems, while ML is a subset of AI that focuses on learning from data and improving performance without explicit programming.

NLP is a field of AI that helps computers understand, interpret, and generate human language in a useful way.

Computer vision is a field of AI that enables machines to interpret and make decisions based on visual data like images and videos.

The Turing Test, proposed by Alan Turing, evaluates a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.

AI is used in self-driving cars, recommendation systems, healthcare diagnosis, virtual assistants, fraud detection, and robotics.

Chatbots are AI-powered programs designed to simulate human conversation and provide automated responses to user queries.

Supervised learning is a type of machine learning where the model is trained on labeled data to predict outcomes for new data.

Unsupervised learning is a machine learning technique where the algorithm works on unlabeled data to find hidden patterns or groupings.

Overfitting occurs when a model learns the training data too well, including noise, leading to poor generalization on new data.

Underfitting occurs when a model is too simple to capture the underlying structure of the data, resulting in poor accuracy.

Popular programming languages for AI include Python, R, Java, Julia, and C++.