Machine Learning Algorithms for Engineering Applications – Future Trends and Research Directions

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The fundamental notion is that flexible, automatic approaches are used to detect patterns within the data, primarily focusing on predictions on future data.

Machine Learning Algorithms for Engineering Applications – Future Trends and Research Directions

Machine learning is vital in numerous academic and financial applications, ranging from health care and treatment to finding relevant information in social networks. Large organizations thoughtfully apply machine learning algorithms with extensive research teams. This book aims to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise.

Statistical analysis is an integral part of machine learning. It can be described as a form, often even utilizing well-known and familiar techniques that focus differently from traditional analytical practice in applied disciplines.

 

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