Audio available in app
Unsupervised learning aims to discover patterns in unlabeled data from "summary" of Introduction to Machine Learning with Python by Andreas C. Müller,Sarah Guido
Unsupervised learning is a type of machine learning that deals with unlabeled data, meaning that we don't have the correct output associated with each data point. Instead, the goal is to discover patterns or relationships in the data without any guidance. This is in contrast to supervised learning, where the algorithm is given labeled examples to learn from. In unsupervised learning, the algorithm must find structure in the data on its own. One common task in unsupervised learning is clustering, where the algorithm groups similar data points together. This can help us understand the underlying s...
Similar Posts
Sentient machines can improve decisionmaking processes
Sentient machines have the potential to revolutionize decision-making processes in ways that were previously unimaginable. By h...
Be aware of confirmation bias when collecting information
Confirmation bias is a mental pitfall that we all fall into without even realizing it. It is the tendency to pick information t...
The influence of AI on politics and governance is growing
The impact of artificial intelligence on the political landscape and governance is becoming more pronounced as AI technologies ...