Lazzeri (715 résultats)

Softcover. Etat : Bon. Petite(s) trace(s) de pliure sur la couverture. Tome 2. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Slightly creased cover. Volume 2. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Soft cover. Etat : Very Good. Very good copy with minor shelfwear.

Softcover. Etat : Très bon. Ancien livre de bibliothèque. Salissures sur la tranche. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Stains on the edge. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations. …

Softcover. Etat : Très bon. Ancien livre de bibliothèque avec équipements. Edition 2015. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2015. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Softcover. Etat : Très bon. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Ammareal gives back up to 15% of this item's net price to charity organizations.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : Very Good. : En el año 1494, Tomás de Torquemada, inquisidor general de Castilla y Aragón, se encuentra en una búsqueda desesperada por un documento que ha sido transmitido a lo largo de los siglos. Este documento tiene el poder de desestabilizar los cimientos de la Iglesia, pero Torquemada solo cuenta con información fragmentada obtenida de un rabino torturado. En medio del dolor, el rabino revela el nombre de Giacomo Scolario, un anciano en el gobierno de la República de Luca. Sin embargo, antes de que Cruz, el despiadado fraile sicario, pueda interrogar a Scolario, una mano misteriosa se anticipa, asesinando a Scolario y a su familia. ¿Quién más conoce este oscuro secreto? ¿Quién es el asesino? ¿Qué consecuencias tendría si esta información cayera en las manos equivocadas? Estas interrogantes impulsarán a Torquemada, Cruz y al funcionario luqués Ermete Dei Mazzei a emprender una ardua investigación que los llevará desde la Toscana hasta la Roma de los Borgia. Esta es una impresionante novela de suspense histórico. EAN: 9788415497509 Tipo: Libros Categoría: Literatura y Ficción Título: La sombra del inquisidor Autor: Roberto Ciai| Marco Lazzeri Editorial: Editorial Bóveda Idioma: es-ES Páginas: 640 Formato: tapa blanda.…

Etat : New.

Paperback or Softback. Etat : New. There's No Such Thing as Too Much Garlic: A Book for Garlicaholics. Book.

Etat : New.

Etat : New.

Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Etat : Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Paperback. Etat : Very Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Etat : New.

Paperback. Etat : Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Etat : Nuevo. Primera edición. Libro NUEVO. Colección El Mamífero Parlante. A diferencia de la ética formal, la ética comunicacional no se basa en las máximas de una voluntad solitaria, sino en un «a priori de la comunidad de la comunicación», capaz de universalizar los principios morales y de configurar una verdadera «ética de la responsabilidad» a la altura de los desafios planetarios de la «edad de la ciencia».ANTES DE HACER EL PEDIDO DEBE LEER LAS CONDICIONES DE PAGO Y ENVÍO DE LA LIBRERÍA. Size: 274 pp. 22,5 x 15,5 cm, 361 gr.…

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Very Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Paperback. Etat : Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Etat : Good. : Libro de texto en inglés para niños, perteneciente al ciclo de primaria. El libro incluye pegatinas y está diseñado para ser un recurso didáctico atractivo y efectivo. Ideal para estudiantes de segundo ciclo de primaria que buscan mejorar sus habilidades en inglés de una manera divertida y práctica. EAN: 9788498372915 Tipo: Libros Categoría: Infantil y Juvenil|Educación Título: Pirates. Reader 3. Well Done! Primary 2nd cycle. With Stickers Autor: Bill Bowler| Sue Parminter| Steve Marsland| Gabriella Lazzeri Idioma: en Páginas: 77 Formato: tapa blanda Año de publicación: 2011.…

Etat : New.

Paperback. Etat : New.

Text in French. Wrappers (covers) rubbed & light edgewear otherwise a clean, unmarked, complete very good trade paper back copy in decorative wrappers (soft cover book).

Etat : New.

Soft cover. Etat : New. ISBN:9789363866249,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Softcover. Etat : Good with no dust jacket. Book is in the Italian language. Sound binding. Clean, tanned pages. Wrappers have light handling wear. Erotic writings by Renaissance political philosopher Machiavelli. I Corvi Collana Universale Moderna; 103; 7.00" (18 cm) tall; 210 pages.

Hardcover. Etat : Used - Very Good. Giannini & Son Publishers, Florence, 1926. (vii), (198) pages. Drawings. 7.25 x 5.25", decorated paper over stiff paper, printed label. Partly unopened. Toned, very good.

Paperback. Etat : New.