This book offers a comprehensive and accessible introduction to the fields of data mining and artificial intelligence. It covers everything from basics to advanced case studies, with an emphasis on practical application using tools like Python and R.
It also addresses critical issues of ethics and responsibility in the use of these technologies, discussing topics such as privacy, algorithmic bias and transparency.
The objective is to allow the reader to apply data mining and artificial intelligence techniques to real problems, contributing to innovation and progress in their area of specialization.
Número de páginas | 222 |
Edición | 1 (2024) |
Formato | A5 (148x210) |
Acabado | Tapa blanda (con solapas) |
Coloración | Blanco y negro |
Tipo de papel | Ahuesado 80g |
Idioma | Inglés |
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