Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques.
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Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.
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LAW / Forensic Science. COMPUTERS / Machine Theory. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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This is a great gift idea. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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This book is an ideal resource for graduate-level students in computer science and applied statistics programs, as well as researchers and engineers in related fields. Edition Number - 0001. Pages Count - 208.
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The Title is Machine Learning in Educational Sciences : Approaches, Applications and Advances. Category - EDUCATION / Research. Pages Count - 404. Binding type - Hardcover. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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The item is a book paperback or softback. The Title is Machine Learning for Text. Content Language - English. Pages Count - 520. Binding type - Perfect. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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