Machine Learning

Machine Learning Paradigms: Supervised, Unsupervised, and Reinforcement Learning

Machine learning can be applied to almost any problem, and it has been used to detect cancer, predict traffic patterns, match people up for dating, recognize faces (and facial expressions), caption images, and much, much more. Depending on the unique problem at hand, different machine learning techniques are used to deliver an effective solution. Below,…

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How Machine Learning Works: A Mathematical and Visual Analysis

The Purpose of Machine Learning: Approximating a Function Machine learning techniques help software developers build customized solutions that drive significant business value. The fundamental goal of machine learning is to approximate a function that we, as software engineers, don’t know how to implement based on the available data and information. RELATED ARTICLE: How Software Is…

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How Software Is Developed Using Machine Learning Algorithms

An Overview of How Software Works On a basic level, every software system manipulates data. In software development, we create a system where someone or something (the user) provides some data (the input). Software manipulates that input and translates it into different data, the output. Our fundamental goal for developing software is to have a…

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