Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

Extraction of Natural Products from Agro-industrial Wastes: A Green and Sustainable Approach focuses on the different techniques used in this type of extraction, such as ultrasound assisted, microwave assisted, supercritical and other green extraction techniques. The book compiles the expertise of authors with diversified backgrounds in analytical chemistry, natural product chemistry and separation technology. It will be of interest to researchers working in the fields of Analytical Chemistry, Separation Science, Green extraction techniques and Agro-Industrial wastes. Readers will find quantitative descriptions and reliable guidelines that reflect the maturation and demand of the field and the development of new green methods.