Loss Functions in Machine Learning Explained | DataCamp

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Machine learning provides computational models with the capability to make predictions, classifications, and decisions based on data. As a field of study, machine learning is a subset of the domain of artificial intelligence, which encapsulates the processes involved in building a computational model with capabilities that mimic human intelligence and, in some cases, surpass it. Machine learning and associated algorithms and techniques fundamentally involve designing, implementing, and training algorithms to recognize patterns in exposed data and perform predictions or classifications. Machine learning algorithms learn through different methods, but a fundamental component of the learning process of machine learning algorithms and models is the loss function. The loss function is a mathematical process that quantifies the error margin between a model's prediction and the actual target value. Later in this article, we explore the loss function in detail. Upskill in Python to become a ma

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Loss Functions in Machine Learning Explained | DataCamp

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