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 Java Persistence with MyBatis 3
Getting started with the MYBatis framework is greatly simplified with this step-by-step guide that’s packed with practical exercises. Now you can quickly and confidently take your Java capabilities into the arena of data persistence.
Overview
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Detailed instructions on how to use MyBatis with XML and...
| | IBM Cognos 10 Framework Manager
Full of practical instructions and expert know-how, this book continues where the official manual ends, taking you from the basics into the more advanced features of IBM Cognos Framework Manager in clear, progressive steps.
Overview
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Your complete and practical guide to IBM Cognos Framework Manager
... | | Getting Started with SQL: A Hands-On Approach for Beginners
Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your... |
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Oracle SQL:A Beginner's Tutorial, Second Edition
This introduction to SQL for the Oracle database begins by discussing exactly how data is stored and maintained in a relational database, familiarizing readers with SQL INSERT, UPDATE, and DELETE statements. The guide then discusses how to construct basic queries, choose an appropriate output, and how to create and use groups. Readers will... | | Microsoft Excel 2013 Data Analysis and Business Modeling
Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data... | | Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the... |
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