Making Sense of Machine Learning: A Clear and Concise Definition

Making Sense of Machine Learning: A Clear and Concise Definition

Introduction Machine learning, sometimes referred to as machine intelligence or artificial intelligence (AI), is a field of computer science and artificial intelligence that’s based on the premise that computers can be programmed to improve automatically through data-driven experience. In other words, machines can learn from the data they receive without being explicitly programmed by humans….

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Unsupervised Learning: An Approach to Extract Information From Unlabeled Data

Unsupervised Learning: An Approach to Extract Information From Unlabeled Data

Introduction Unsupervised learning algorithms are used to extract information from unlabeled data. They can be used in many applications such as image processing, text mining and natural language processing (NLP). Unsupervised learning is a branch of machine learning concerned with the study of those algorithms that learn from data without being given any feedback on…

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When Unsupervised Machine Learning Is Better Than Supervised Machine Learning

When Unsupervised Machine Learning Is Better Than Supervised Machine Learning

Introduction Unsupervised machine learning is a type of machine learning algorithm that doesn’t require any labeled data. Unsupervised machine learning can be used to find hidden patterns in existing data, and it can also help identify new features that were previously unknown. There are two types of unsupervised learning algorithms: clustering and field-based methods. Unsupervised…

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