Titlebook: Computation of Artificial Intelligence and Machine Learning; First International Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer

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https://doi.org/10.1007/978-3-531-90321-7on of substantia nigra of the central nervous system (CNS), that has an impact on the body. Individuals with Parkinson‘s disease experience difficulty speaking, writing, and walking. To distinguish between individuals with Parkinson‘s disease and those in good health, various machine learning-based

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https://doi.org/10.1007/978-3-531-90321-7 other hand, are ideally suitable for Machine learning challenges due to their tremendous performance. NVIDIA has released the RAPIDS framework, which includes the cuML library, to take benefit from GPU performance for machine learning. A GPU-based framework such as RAPIDS provides fast results on l

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978-3-031-71480-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-642-85514-6ia and other types of cancer and is already making a significant impact in the field of oncology. ML algorithms can be used for detection of leukemia and it is easy to detect due to dark-purple color of cells. But detecting leukemia without ML techniques is time‐consuming and challenging. Utilizatio

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Entzündliche Effloreszenzen und ihre Folgeny outlines the benefits and drawbacks of various design strategies, offering information on their applicability and effects on chatbot functionality. Researchers and practitioners can make wise choices to create intelligent conversational chatbots that provide better user experiences by knowing thes

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https://doi.org/10.1007/978-3-658-40947-0from UCI’s Machine Learning Repository has been employed. To extract relevant features, multiple vectorization techniques have been applied, including Bag of Words, TF-IDF, TF-IDF (Bigrams), and TF-IDF (Trigrams). To execute the necessary categorization, a range of machine learning classification al