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Unsupervised Learning

What is Unsupervised Learning ? Unsupervised learning stands as a captivating domain within machine learning, where algorithms learn from data without any explicit instructions. Imagine embarking on a journey of exploration without a map, where patterns and structures are discovered organically. This self-guided exploration allows algorithms to categorize, cluster, and interpret complex datasets in innovative ways. Clustering Techniques in Unsupervised Learning At the heart of unsupervised learning lies clustering, a method used to group data points into clusters based on similarity. Two widely recognized techniques are K-means and hierarchical clustering, each with its unique approach to

Introduction to Machine Learning

At the core of modern technological advancements lies a transformative concept: machine learning. This revolutionary field empowers computers to learn from data, enabling them to make decisions, recognize patterns, and generate insights without explicit programming instructions. From personalized recommendations on streaming platforms to optimizing supply chains, machine learning has permeated various aspects of our lives, reshaping industries and opening up unprecedented possibilities. The Language of Machine Learning Diving into the world of machine learning, one encounters a new lexicon. Terms like “algorithm,” “model,” “training data,” and “inference” become part of your everyday vocabulary. An algorithm is

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Unsupervised Learning

Introduction to Machine Learning

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