MACHINE LEARNING - Polinati, Vinod Babu;Rao, M.V.P. Chandra Sekhara
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Data handling has became intelligent and straightforward in the age of information science. There are various instruments, techniques and methods proposed for this purpose. We used various data science algorithms, such as KNN (k-nearest neighbor), which is commonly used for classification and multivariate analysis, and SVM (Support Vector Machine), which is a classification algorithm that uses training examples to classify data and predict the target.

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Produktbeschreibung
Data handling has became intelligent and straightforward in the age of information science. There are various instruments, techniques and methods proposed for this purpose. We used various data science algorithms, such as KNN (k-nearest neighbor), which is commonly used for classification and multivariate analysis, and SVM (Support Vector Machine), which is a classification algorithm that uses training examples to classify data and predict the target.
Autorenporträt
Vinod Babu Polinati : Trabaja como profesor asistente, GIT, GITAM, Visakhapatnam, Andhra Pradesh, INDIA. Dr. M.V.P. Chandra Sekhara Rao: Trabaja como profesorRVR & JC College of Engineering, Guntur, Andhra Pradesh, INDIA. Sus intereses de investigación se centran en la ciencia de los datos, la inteligencia artificial, el aprendizaje automático y el aprendizaje profundo.