AI and Machine Learning exam questions fully solved 2024

artificial intelligence Artificial intelligence is the study of agents that perceive the world around them, form plans, and make decisions to achieve their goals. Machine Learning Machine learning is a subfield of artificial intelligence. Its goal is to enable computers to learn on their own. A machine's learning algorithm enables it to identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. Brainpower Read More Previous Play Next Rewind 10 seconds Move forward 10 seconds Unmute 0:00 / 0:00 Full screen artificial narrow intelligence (ANI) AI which can effectively perform a narrowly defined task. Supervised Learning Agent observes input-output pairs & learns to map input to output Regression Predict a continuous numerical value. How much will that house sell for? Classifications assign a label. Is this a picture of a cat or a dog? gradient descent A technique to minimize loss by computing the gradients of loss with respect to the model's parameters, conditioned on training data. Informally, gradient descent iteratively adjusts parameters, gradually finding the best combination of weights and bias to minimize loss. Overfitting The process of fitting a model too closely to the training data for the model to be effective on other data. Bias the amount of error introduced by approximating real-world phenomena with a simplified mod