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Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition) Machine Learning for Absolute Beginners: A Plain English Introduction by Oliver Theobald
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“Examples of common algorithms used in supervised learning include regression analysis (i.e. linear regression, logistic regression, non-linear regression), decision trees, k-nearest neighbors, neural networks, and support vector machines, each of which are examined in later chapters.”
Oliver Theobald, Machine Learning for Absolute Beginners: A Plain English Introductiom
“machine learning emphasizes the incremental process of self-learning and automatically detecting patterns through experience derived from exposure to data, data mining is a less autonomous technique of extracting hidden insight.”
Oliver Theobald, Machine Learning for Absolute Beginners: A Plain English Introductiom
“ANALYSIS As the ‘Hello World’ of machine”
Oliver Theobald, Machine Learning for Absolute Beginners: A Plain English Introduction