Overcoming Clustering Limitations in Machine Learning
By Rekhit Pachanekar You know that machine learning can be broadly categorised into supervised and unsupervised learning. Supervised learning uses labelled data, where the model learns from input-output pairs to make predictions or classifications. On the other hand, unsupervised learning works with unlabeled data to discover hidden patterns or structures. For instance, it can group … Read more
