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Search Results for: learning

Machine Learning: Functional Trees

The generalization ability of a learning algorithm depends on the appropriateness of its representation language to express a generalization of the examples for the given task. Different learning algorithms employ different representations, search heuristics, evaluation functions, and search spaces.

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Bayesian Reasoning and Machine Learning

The book is designed to appeal to students with only a modest mathematical background in undergraduate calculus and linear algebra. No formal computer science or statistical background is required to follow the book, although a basic familiarity with probability, calculus and linear algebra would be useful.

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Gaussian Processes for Machine Learning

In this book we will be concerned with supervised learning, which is the problem of learning input-output mappings from empirical data (the training dataset). Depending on the characteristics of the output, this problem is known as either regression, for continuous outputs, or classification, when outputs are discrete.

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4 Free eBooks on Learning Ruby on Rails Framework

Ruby on Rails can be deceiving in terms of being easy to learn, but it is nonetheless one of the nicest frameworks when it comes to building functional web applications. The Rails framework helps developers to build websites and applications, because it abstracts and simplifies common repetitive tasks.

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Neural Networks and Deep Learning

Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning.

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