Machine Learning in Java

#artificialintelligence 

Machine Learning (ML) has bought significant promises in different fields in both academia and industry. Day by day, ML has grown its engagement in a comprehensive list of applications such as image, speech recognition, pattern recognition, optimization, natural language processing, and recommendations, and so many others. Programming computers to learn from experience should eventually eliminate the need for much of this detailed programming effort. Machine Learning can be divided into four main techniques: regression, classification, clustering, and reinforcement learning. Those techniques solve problems with different natures in mainly two forms: supervised and unsupervised learning.

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