Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. We present an RNA ...

The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...

Deep learning, for instance, is an example of a successful machine learning method loosely based on biological neural networks. We develop probabilistic modelling techniques to produce predictions for ...

From early experiments to the tools of tomorrow, AI technology has come a long way. The journey has just begun.

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

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Learn about the five key machine learning approaches outlined in the best selling AI book, The Master Algorithm, and their use cases in the field of cybersecurity. The post Machine Learning in Cyber ...