Supervised vs Unsupervised Learning: Key Differences Explained

In this clip, @JonKrohnLearns explains the distinctions between supervised and unsupervised machine learning. Supervised learning uses labeled data, allowing models to classify inputs like images of dogs and cats. In contrast, unsupervised learning identifies patterns within unlabeled data, categorizing items based on similarities without predefined labels. Watch the full interview “833: The 10 Reasons AI Projects Fail — with Dr. Martin Goodson” here: https://www.superdatascience.com/833