Showing posts with label Learning. Show all posts
Showing posts with label Learning. Show all posts

Monday, January 16, 2017

Learning PHP, MySQL, JavaScript, and CSS

Learning PHP, MySQL, JavaScript, and CSS

Learning PHP, MySQL, JavaScript, and CSS
By:"Robin Nixon"
Published on 2012-08-27 by \

Learn how to build interactive, data-driven websites—even if you don’t have any previous programming experience. If you know how to build static sites with HTML, this popular guide will help you tackle dynamic web programming. You’ll get a thorough grounding in today’s core open source technologies: PHP, MySQL, JavaScript, and CSS. Explore each technology separately, learn how to combine them, and pick up valuable web programming concepts along the way, including objects, XHTML, cookies, and session management. This book provides review questions in each chapter to help you apply what you’ve learned. Learn PHP essentials and the basics of object-oriented programming Master MySQL, from database structure to complex queries Create web pages with PHP and MySQL by integrating forms and other HTML features Learn JavaScript fundamentals, from functions and event handling to accessing the Document Object Model Pick up CSS basics for formatting and styling your web pages Turn your website into a highly dynamic environment with Ajax calls Upload and manipulate files and images, validate user input, and secure your applications Explore a working example that brings all of the ingredients together

ISBN : 9781449337483

RATE : 3.5

Author :"Robin Nixon"

ID: gNiEADgNuFwC

This Book was ranked 11 by Google Books for keyword text book websites.

Tuesday, October 11, 2016

An Introduction to Statistical Learning

An Introduction to Statistical Learning

An Introduction to Statistical Learning
By:"Gareth James","Daniela Witten","Trevor Hastie","Robert Tibshirani"
Published on 2014-07-11 by Springer

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

ISBN : 9781461471370

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Author :"Gareth James","Daniela Witten","Trevor Hastie","Robert Tibshirani"

ID: at1bmAEACAAJ

This Book was ranked 37 by Google Books for keyword rent books online.

Thursday, October 6, 2016

Learning Web Design

Learning Web Design

Learning Web Design
By:"Jennifer Niederst Robbins"
Published on 2007-06-29 by \

A guide to Web design basics covers HTML, lists, links, tables, and frames, authoring programs, Web graphics applications, navigation systems, and information and interface design.

ISBN : 9780596527525

RATE : 3.5

Author :"Jennifer Niederst Robbins"

ID: sM_CfvUnb9cC

This Book was ranked 29 by Google Books for keyword text book websites.

Tuesday, October 4, 2016

Learning PHP, MySQL, and JavaScript

Learning PHP, MySQL, and JavaScript

Learning PHP, MySQL, and JavaScript
By:"Robin Nixon"
Published on 2009-07-03 by \

If you know HTML, this guide will have you building interactive websites quickly. You'll learn how to create responsive, data-driven websites with PHP, MySQL, and JavaScript, regardless of whether you already know how to program. Discover how the powerful combination of PHP and MySQL provides an easy way to build modern websites complete with dynamic data and user interaction. You'll also learn how to add JavaScript to create rich Internet applications and websites. Learning PHP, MySQL, and JavaScript explains each technology separately, shows you how to combine them, and introduces valuable web programming concepts, including objects, XHTML, cookies, and session management. You'll practice what you've learned with review questions in each chapter, and find a sample social networking platform built with the elements introduced in this book. This book will help you: Understand PHP essentials and the basics of object-oriented programming Master MySQL, from database structure to complex queries Create web pages with PHP and MySQL by integrating forms and other HTML features Learn about JavaScript, from functions and event handling to accessing the Document Object Model Use libraries and packages, including the Smarty web template system, PEAR program repository, and the Yahoo! User Interface Library Make Ajax calls and turn your website into a highly dynamic environment Upload and manipulate files and images, validate user input, and secure your applications

ISBN : 9781449379308

RATE : 3.5

Author :"Robin Nixon"

ID: Zwzc4qUZnqMC

This Book was ranked 38 by Google Books for keyword text book websites.

Monday, September 12, 2016

Machine Learning

Machine Learning

Machine Learning
By:"Kevin P. Murphy"
Published on 2012-08-24 by MIT Press

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

ISBN : 9780262018029

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Author :"Kevin P. Murphy"

ID: NZP6AQAAQBAJ

This Book was ranked 27 by Google Books for keyword text book websites.