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Essential math for data science : take control of your data with fundamental linear algebra, probability , and statistics
Tipo de material:
TextoEstados Unidos de América : O´Reilly Media, 2022Descripción: 334 páginasISBN: - 9781098102937
- 006.3 N667
Contenidos:
Basic math and calculus review: number theory - Order of operations -- Probability: understanding probability - Probability versus statistics -- Descriptive and inferential statistics: what is data - Descriptive versus inferential statistics -- Linear algebra: what is a vector - Adding and combining vectors -- Linear regression: a basic linear regression - Residuals and squared errors -- Logistic regression and classification: understanding logistic regression - Logistic function
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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Libro
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Biblioteca Rafael Escandón Hernández - UNAC - Medellín Sala principal de colecciones - Primer piso - Medellín | General | 006.3 N667 (Navegar estantería(Abre debajo)) | Ejemplar 1 | Disponible | 19327 |
Incluye índice
Basic math and calculus review: number theory - Order of operations -- Probability: understanding probability - Probability versus statistics -- Descriptive and inferential statistics: what is data - Descriptive versus inferential statistics -- Linear algebra: what is a vector - Adding and combining vectors -- Linear regression: a basic linear regression - Residuals and squared errors -- Logistic regression and classification: understanding logistic regression - Logistic function
