Question

Which of the following techniques is a modern update of artificial neural networks?

Option 1: Decision trees
Option 2: Support vector machines
Option 3: Deep learning
Option 4: K-means clustering

Answer 1

Deep learning is the modern update of artificial neural networks, involving layers of neural networks capable of handling complex tasks. It stands out from other machine learning techniques like decision trees, support vector machines, and k-means clustering.

Correct option is Option 3: Deep learning

Step-by-step explanation:

The modern update of artificial neural networks is Option 3: Deep learning. Deep learning is a subset of machine learning that involves layers of artificial neural networks which are capable of learning unsupervised from unstructured or unlabeled data. It's widely used in various fields such as image and speech recognition, natural language processing, and medical diagnosis.

While the other options like decision trees, support vector machines, and k-means clustering are also machine learning techniques, they are not considered updates of neural networks. Instead, each serves different purposes within the field of machine learning and data analysis. Deep learning specifically represents a more complex and powerful evolution of the neural network concept, capable of handling large sets of data to perform more sophisticated tasks.