Core AI Concepts Flashcards
| Front | Back |
| What is the difference between AI Machine Learning and Deep Learning | AI is the overall concept ML is a subset of AI and Deep Learning is a specialized branch of ML |
| What is Deep Learning | A specialized branch of machine learning using neural networks with many layers to analyze complex patterns |
| What is Artificial Intelligence | The simulation of human intelligence in machines that perform tasks typically requiring human intelligence |
| What is Transparency in AI | The ability to understand and interpret how an AI system makes decisions |
| Define Supervised Learning | A type of machine learning where the model is trained on labeled data |
| What is Fairness in AI | Ensuring AI systems provide unbiased results and do not discriminate against certain groups |
| Define Reinforcement Learning | A type of machine learning where an agent learns to make decisions by receiving rewards or penalties |
| What is Machine Learning | A subset of AI that uses algorithms to allow computers to learn from data and make predictions or decisions |
| What is Classification | A supervised learning task that assigns a category label to data |
| What are the main types of Machine Learning | Supervised Learning, Unsupervised Learning and Reinforcement Learning |
| What is Regression | A supervised learning task that predicts a continuous value based on input data |
| What is Accountability in AI | Holding developers and organizations responsible for the outcomes of AI systems |
| Define Unsupervised Learning | A type of machine learning where the model identifies patterns and relationships in unlabeled data |
| What is Data Science | An interdisciplinary field focused on extracting insights from data using various techniques |
| What is Anomaly Detection | A method used to identify unusual patterns or outliers in data |