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Understanding Machine Learning: From Theory to Algorithms

Understanding Machine Learning: From Theory to Algorithms

www.cs.huji.ac.il

Understanding Machine Learning Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a princi-pled way. The book provides an extensive theoretical account of the fundamental ideas underlying ...

  Machine, Learning, Machine learning, Machine learning machine learning

Machine Learning - Computer Science at UBC

Machine Learning - Computer Science at UBC

www.cs.ubc.ca

1.1.1 Types of machine learning Machine learning is usually divided into two main types. In the predictive or supervised learning approach, the goal is to learn a mapping from inputs x to outputs y, given a labeled set of input-output pairs D = {(x i,y i)}N i=1. Here D is called the training set, and N is the number of training examples.

  Machine, Learning, Supervised, Machine learning, Machine learning machine learning, Supervised learning

MACHINE LEARNING LABORATORY MANUAL - JNIT

MACHINE LEARNING LABORATORY MANUAL - JNIT

www.jnit.org

Machine learning Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. In the past

  Machine, Learning, Technique, Machine learning, Machine learning machine learning

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