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JIRA 4 Essentials

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This book is a step-by-step tutorial and is packed with practical examples that will make learning JIRA easy. If you want to get started with JIRA, then this is the perfect book for you. You will need to be familiar with basic computer knowledge for your or your organization's standard operating environment and to have experience with software project management....

Instant Kendo UI Grid

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Practical recipes to learn the Kendo UI Mobile library and its various components for building mobile applications effectively Overview Learn something new in an Instant! A short, fast, focused guide delivering immediate results Understand how to allow users to manipulate data Learn how to make large data sets easy to manage and filter Discover how to dress up tables to make them look more appealing In Detail Kendo grids are the perfect fit if you need a powerful set of tools to let users manipulate data, or even if you just want a great way to dress up existing tables. Instant Kendo UI Grid How-to is a practical, hands-on guide that will provide dozens of working examples and also serve as a reference for customizing your grids in no time. It will...

Apache MyFaces Trinidad 1.2

A Practical Guide
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The book is a hands-on practical guide that stresses the discussion of code and builds up a sample application that illustrates all the standard UI types covered by Trinidad. This book is written for Java developers who are beginners at JSF and experienced web developers who are looking for an introduction into the world of open source JSF technology....

Haskell Data Analysis Cookbook

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Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes Overview A practical and concise guide to using Haskell when getting to grips with data analysis Recipes for every stage of data analysis, from collection to visualization In-depth examples demonstrating various tools, solutions and techniques In Detail This book will take you on a voyage through all the steps involved in data analysis. It provides synergy between Haskell and data modeling, consisting of carefully chosen examples featuring some of the most popular machine learning techniques. You will begin with how to obtain and clean data from various sources. You will then learn how to use various data structures such as trees and gr...

Mastering Machine Learning With scikit-learn

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Apply effective learning algorithms to real-world problems using scikit-learn About This BookDesign and troubleshoot machine learning systems for common tasks including regression, classification, and clusteringAcquaint yourself with popular machine learning algorithms, including decision trees, logistic regression, and support vector machinesA practical example-based guide to help you gain expertise in implementing and evaluating machine learning systems using scikit-learnWho This Book Is ForIf you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential. In Detail This book exam...



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