Artificial Intelligence?

1. What is artificial intelligence?

AI is the simulation of human intelligence in machines programmed to think and learn like humans.

2. What are the types of AI?

Narrow AI (weak AI), General AI (strong AI), and Superintelligent AI.

3. What is machine learning?

A subset of AI that involves training algorithms to learn from and make predictions based on data.

4. What is deep learning?

A type of machine learning using neural networks with many layers to model complex patterns in data.

5. What is natural language processing (NLP)?

A branch of AI that enables machines to understand, interpret, and respond to human language.

6. What is computer vision?

A field of AI that enables machines to interpret and make decisions based on visual data.

7. What is reinforcement learning?

A type of machine learning where agents learn to make decisions by receiving rewards or penalties.

8. What is a neural network?

A computational model inspired by the human brain that consists of interconnected nodes (neurons) to process data.

9. What is an algorithm?

A set of rules or instructions for solving a problem or performing a task.

10. What is supervised learning?

A machine learning paradigm where the model is trained on labeled data.

11. What is unsupervised learning?

A machine learning approach where the model learns from unlabeled data to find hidden patterns.

12. What is semi-supervised learning?

A technique that combines a small amount of labeled data with a large amount of unlabeled data during training.

13. What is feature engineering?

The process of using domain knowledge to create features that enhance model performance.

14. What is cross-validation?

A technique for assessing how the results of a statistical analysis will generalize to an independent dataset.

15. What is gradient descent?

An optimization algorithm used to minimize the loss function by iteratively updating model parameters.

16. What is the difference between classification and regression?

Classification predicts discrete categories, while regression predicts continuous numerical values.

17. What is a decision tree?

A model that makes decisions based on answering a series of questions in a tree-like structure.

18. What programming languages are commonly used in AI?

Python, R, Java, C++, and Julia.

19. What are some popular AI frameworks?

TensorFlow, Keras, PyTorch, and Scikit-learn.

20. What is TensorFlow?

An open-source library developed by Google for numerical computation and machine learning.

21. What is PyTorch?

An open-source machine learning library developed by Facebook for applications such as computer vision and natural language processing.

22. What is Keras?

An open-source neural network library written in Python, capable of running on top of TensorFlow.

23. What is Scikit-learn?

A Python library for machine learning that provides simple and efficient tools for data analysis and modeling.

24. What is a chatbot?

An AI application that simulates conversation with users through text or voice interactions.

25. What is data preprocessing?

The steps taken to clean and prepare raw data for analysis.

26. What is a support vector machine (SVM)?

A supervised learning model used for classification and regression tasks.

27. What is AI ethics?

The study of moral implications and responsibilities associated with AI technologies and their impact on society.

28. What is the Turing Test?

A test to determine a machine's ability to exhibit intelligent behavior indistinguishable from a human.

29. What is bias in AI?

Prejudice in AI algorithms that can result in unfair treatment of individuals based on their characteristics.

30. What are autonomous systems?

Machines or software capable of performing tasks without human intervention.

31. What is explainable AI (XAI)?

AI systems designed to provide clear and understandable explanations of their decision-making processes.

32. What is natural language generation (NLG)?

The process of converting structured data into human-readable text using AI.

33. What is sentiment analysis?

A technique used to determine the sentiment expressed in a piece of text, such as positive, negative, or neutral.

34. What is image recognition?

The ability of a computer to identify and classify objects within images.

35. What is a recommendation system?

An AI application that suggests products or content to users based on their preferences and behaviours.

36. What are the challenges of AI?

Data quality, ethical concerns, bias, lack of transparency, and resource-intensive processes.

37. What is a generative adversarial network (GAN)?

A class of machine learning frameworks where two neural networks contest with each other to generate new data.

38. What is the role of data in AI?

Data is essential for training models, validating results, and enabling AI to learn patterns.

39. What is automated machine learning (AutoML)?

The process of automating the end-to-end process of applying machine learning to real-world problems.

40. What is a fuzzy logic system?

A system that uses fuzzy set theory to handle reasoning that is approximate rather than fixed or exact.

41. What is swarm intelligence?

A concept inspired by the collective behaviour of decentralized, self-organized systems.

42. What is the future of AI?

Continued integration into various industries, improved capabilities, and growing importance in decision-making and automation.