Roque fernando (52 risultati)

Soft cover. Condizione: Very Good. No Jacket. Children's color-photo illustrated primer has signs of use, tight and unmarked.

Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condizione: good. Paperback Book.

Condizione: Good. : Este libro aborda la problemática de la violencia contra niños, niñas y adolescentes en colectivos vulnerables. Publicado por Huygens Editorial en septiembre de 2020, cuenta con 334 páginas y está disponible en formato de tapa blanda. La obra es el resultado del trabajo de múltiples autores, entre los que destacan Joaquín Sedano Tapia, Carlos Vilagrasa Alcaide y Leonardo B. Pérez Gallardo, entre otros. Un análisis profundo y necesario sobre un tema de gran relevancia social. EAN: 9788417580148 Tipo: Libros Categoría: Educación Título: La violencia contra niños, niñas y adolescentes en colectivos vulnerables Autor: Joaquín Sedano Tapia| Carlos Vilagrasa Alcaide| Karla Pamela Jiménez Erazo| Mª Carmen López Roque| Carmen Julia Cabello Matamala| Richard Aguilar Díaz| Sandra Verónika Manrique Urteaga| Marcela Huaita Alegre| Carlos Fernando Cáceres Palacios| Ximena Salazar Lostaunau| Arón Núnez-Curto| Lucero Cuba Vargas| Alejandro Merino Rosas| Sonia Ascue Bravo| María Isabel Pimentel Tello| Ana María Gemez Perera| Patricia Janet Beltrán Pacheco| María Elena Huilca Flores| Ana María Amado Mendoza| Irene Castillo Miyasaki| Leonardo B. Pérez Gallardo| Ana Cecilia Garay Molina| Isaac Ravetllat Ballesté| Domingo Bello Janeiro Idioma: es-ES Páginas: 334 Formato: tapa blanda.…

Condizione: New.

Paperback or Softback. Condizione: New. A Practical Guide to SAP S/4HANA Administration: Monitoring and Optimizing Performance. Book.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New. In.

Condizione: New.

Paperback. Condizione: New. Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learningKey FeaturesSegment data, regression predictions, and time series forecasts without writing any codeGroup multiple variables with K-means using Excel plugin without programmingBuild, validate, and predict with a multiple linear regression model and time series forecastsBook DescriptionData Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.You'll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you'll be able to detect outliers that could indicate possible fraud or a bad function in network packets.By the end of this Microsoft Excel book, you'll be able to use the classification algorithm to group data with different variables. You'll also be able to train linear and time series models to perform predictions and forecasts based on past data.What you will learnUnderstand why machine learning is important for classifying data segmentationFocus on basic statistics tests for regression variable dependencyTest time series autocorrelation to build a useful forecastUse Excel add-ins to run K-means without programmingAnalyze segment outliers for possible data anomalies and fraudBuild, train, and validate multiple regression models and time series forecastsWho this book is forThis book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial.…

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 292.

Blanda. Condizione: Buen Estado. Condizione sovraccoperta: Buen Estado.

Condizione: New. In.

Paperback. Condizione: New.

Blanda. Condizione: Buen Estado. Condizione sovraccoperta: Buen Estado.

Rústica. Condizione: Muy Buen estado. Ejemplar nuevo.

Condizione: New.

Paperback. Condizione: New.

Condizione: New. Print on Demand.

Rústica. Condizione: New. Condizione sovraccoperta: Nuevo. 01. Es difícil dar con las teclas adecuadas para que el alumnado acuda a clase motivado y no siempre es fácil generar experiencias positivas para favorecer que sigan practicando actividad física fuera del horario escolar. . Se ha partido de una necesaria relación bidireccional entre evidencias científicas y práctica profesional y consta de tres partes. . Primera parte: Las conductas docentes pueden influir en la motivación del alumnado en Educación Física? . Segunda parte: Qué podemos aprender de otros para mejorar la motivación del alumnado y promocionar estilos de vida saludable? . Tercera parte: Cómo perfeccionar nuestras conductas motivacionales docentes? . Abarca las etapas de Educación Infantil, Primaria y Secundaria. LIBRO.…

Paperback. Condizione: New. Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learningKey FeaturesSegment data, regression predictions, and time series forecasts without writing any codeGroup multiple variables with K-means using Excel plugin without programmingBuild, validate, and predict with a multiple linear regression model and time series forecastsBook DescriptionData Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.You'll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you'll be able to detect outliers that could indicate possible fraud or a bad function in network packets.By the end of this Microsoft Excel book, you'll be able to use the classification algorithm to group data with different variables. You'll also be able to train linear and time series models to perform predictions and forecasts based on past data.What you will learnUnderstand why machine learning is important for classifying data segmentationFocus on basic statistics tests for regression variable dependencyTest time series autocorrelation to build a useful forecastUse Excel add-ins to run K-means without programmingAnalyze segment outliers for possible data anomalies and fraudBuild, train, and validate multiple regression models and time series forecastsWho this book is forThis book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial.…

Encuadernación de tapa blanda. Condizione: Aceptable. L567. Las Palmas de Gran Canaria - 215pp Libro en tapa blanda sin solapas. ML.

Condizione: New.

Condizione: New. Print on Demand.

DVD. Condizione: Sehr gut. B3569-130 4250128435369 Sprache: Deutsch Gewicht in Gramm: 140.

Condizione: Usado- bueno.