Essentials data science knowledge par williams graham (38 résultats)

Paperback. Etat : Very Good. 1. 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.

Paperback. Etat : Very Good. Paperback in very good condition. Cover corners and edges are slightly bumped and rubbed. Covers are clean, binding is sound and content is as unread. LW. Used.

Etat : As New. Unread book in perfect condition.

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

Etat : New.

Paperback. Etat : new. Paperback. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews Rs capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

Etat : New.

Mixed media product. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : Brand New. pap/psc edition. 322 pages. 8.75x6.00x0.75 inches. In Stock.

Etat : New.

Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Etat : Brand New. pap/psc edition. 322 pages. 8.75x6.00x0.75 inches. In Stock.

Etat : New.

Paperback. Etat : new. Paperback. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews Rs capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Etat : new. Hardcover. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews Rs capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book. This book presents data science material useful to data scientists. As a practitioner, the author brings a practical view, with a hands-on presentation useful to other practitioners. He concentrates on the current generation of R packages, including Hadley Wickam's suite of packages, such as tidyr, dplyr, lubridate, stringr, and ggplot2. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

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

Hardcover. Etat : new. Hardcover. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews Rs capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book. This book presents data science material useful to data scientists. As a practitioner, the author brings a practical view, with a hands-on presentation useful to other practitioners. He concentrates on the current generation of R packages, including Hadley Wickam's suite of packages, such as tidyr, dplyr, lubridate, stringr, and ggplot2. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 342.

Etat : New. pp. 342.

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 322 | Sprache: Englisch | Produktart: Bücher | This book presents data science material useful to data scientists. As a practitioner, the author brings a practical view, with a hands-on presentation useful to other practitioners. He concentrates on the current generation of R packages, including Hadley Wickam's suite of packages, such as tidyr, dplyr, lubridate, stringr, and ggplot2.…

Etat : New.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 322 | Sprache: Englisch | Produktart: Bücher | This book presents data science material useful to data scientists. As a practitioner, the author brings a practical view, with a hands-on presentation useful to other practitioners. He concentrates on the current generation of R packages, including Hadley Wickam's suite of packages, such as tidyr, dplyr, lubridate, stringr, and ggplot2.…

Etat : New. pp. 342.