use gradient descent to seek out the optimal values of their weights. Linear regression, logistic regression, neural networks, and enormous language models all depend on this principle. Within the previous articles, we used...
Learning
Supervised learning is a category of machine learning that uses labeled datasets to coach algorithms to predict outcomes and recognize patterns.
Unlike unsupervised learning, supervised learning algorithms are given labeled training to learn the...