Gutierrez daniel d (52 résultats)

Paperback. Etat : Good. A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used. …

Paperback. Etat : Good. A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used. …

Etat : good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Etat : As New. Unread book in perfect condition.

Etat : New.

Rustica (tapa blanda). Etat : New. Etat de la jaquette : Nuevo. 01. El estoicismo resuena hoy con fuerza. Una filosofía que, aunque tuvo su origen en tiempos que pueden parecernos muy remotos, mantiene su vigencia a través de una propuesta: es preciso conocernos a nosotros mismos y luchar contra nuestra propia incertidumbre. Ahora, en tiempos de crisis e inestabilidad, el estoicismo pone el foco en lo que sí podemos transformar: nuestro carácter. Este diccionario es un mapa que sirve de orientación en la filosofía estoica, construido de forma coral entre filósofos y filósofas de nuestra lengua. Una iniciación perfecta para aquellos que, habiendo leído o no a algún autor estoico, deseen tener una perspectiva completa de una de las filosofías más importantes de nuestra historia. AUTORES Álvaro Márquez Guerrero (Cádiz, 1999) es un joven filósofo que ha centrado su formación y trayectoria en el estudio del pensamiento contemporáneo. Graduado en Filosofía por la Universidad de Málaga, actualmente se encuentra cursando el máster en Estética Contemporánea en la Universidad Complutense de Madrid. En el ámbito académico, ha participado en congresos nacionales e internaciona. LIBRO.…

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : New. Idioma/Language: Español. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New.

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

Etat : New.

Paperback. Etat : new. Paperback. A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used. This book can be viewed as a set of essential tools we need for a long-term career in the data science field - recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : As New. Unread book in perfect condition.

Etat : New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . .

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Etat : Neu. Neuware.