Learning eBooks Page 29

This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning--including probability and statistics, artificial intelligence, and neural networks--unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students....

Develop real-world web applications in Laravel 4 using its refi ned and expressive syntax Overview Build real-world web applications using the Laravel 4 framework Learn how to configure, optimize and deploy Laravel 4 applications Packed with illustrations along with lots of tips and tricks to help you learn more about one of the most exciting PHP frameworks around In Detail Laravel 4 is a clean and classy framework for PHP web development. It attempts to ease the development of web applications by simplifying the common tasks required in the majority of web projects, such as authentication, routing, sessions, and caching. "Learning Laravel 4 Application Development" uses a step-by-step approach to teach you how to build real-world web app...

Mobile is a powerful new tool for supporting organizational performance, including a wide-variety of learning opportunities including innovation, collaboration, research, and design. Mobile generates new products, services, and helps solve problems. Whether providing needed tools, augmenting learning, or connecting individuals, mobile devices are empowering individuals and organizations.Designing mLearning is a hands-on resource that presents step-by-step guidance for designing, delivering, and deploying mobile solutions, covering both the background model and pragmatic considerations for successfully navigating mobile projects. The book takes an integrated approach to mobile learning regardless of the device used. Written by Dr. Clark Quinn, a noted...

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, a...