Machine Learning Fundamentals : an Approch

Lon rej

Abstract


A broad range of computer techniques founded on historical data and expertise are referred to as machine learning. The basics of machine learning are introduced kindly in this chapter. The fundamental ideas of machine learning tasks, techniques, and applications are covered. The chapter goes over the list of machine learning tasks for industries including software development, autonomous driving, gaming, and healthcare. It introduces regularisation and empirical risk reduction, two methods for regulating e est and e approx, leading to a trade-off between the two components.

References


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