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Programming in C#
Programming in C# is a textbook designed for the undergraduate students of Computer Science Engineering and Information Technology and postgraduate students of computer applications to help them understand fundamentals and applications of C# programming using .NET framework. The book will also serve as a handy reference for researchers and practicing programmers who intend to peruse their career in C# programming.
Real World Machine Learning
SummaryReal-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyMachine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand.About the BookReal-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.What's InsidePredicting future behaviorPerformance evaluation and optimizationAnalyzing sentiment and making recommendationsAbout the ReaderNo prior machine learning experience assumed. Readers should know Python.About the AuthorsHenrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning.Table of ContentsTHE MACHINE-LEARNING WORKFLOWWhat is machine learning?Real-world dataModeling and predictionModel evaluation and optimizationBasic feature engineeringPRACTICAL APPLICATIONExample: NYC taxi dataAdvanced feature engineeringAdvanced NLP example: movie review sentimentScaling machine-learning workflowsExample: d
spring and hibernate second edition
The purpose of this book is to remove the veil of secrecy surrounding SAP upgrade techniques and concepts, and to provide the user with a detailed description of the steps needed for a successful implementation. Today more than 12 million people in 120 countries who are working for 36,200 companies are using SAP on a regular basis. This popular, but very complex software system must be constantly reconfigured and upgraded to accommodate its latest releases. Upgrading SAP provides a complete overview of the process to upgrade from one SAP release to the next one and explains with detailed descriptions, the use of all relevant SAP upgrade tools. Along with a technical description of the SAP NetWeaver Application Server (AS), it also discusses personnel issues and the economic ramifications of such an upgrade project. Examples in this book are based on various different SAP products and releases, such as SAP NetWeaver 2004, 2004S (also known as NetWeaver 7.0 and 7.1), and SAP Business Suite 2005 with SAP ERP 6.0, BI, CRM, SCM, and SRM. Conceived as both a teaching book and as a reference manual, it covers all the techniques, background information, notes, tips, and tricks needed for any SAP upgrade project. A CD-ROM accompanies the book with templates and outlines for the upgrading process, as well as third-party SAP-related material.
RESEARCH METHODOLOGY
This third edition has been made more structured to make the learning more systematic. More details are added to old chapters and some new chapters are also added keeping in mind the need of advanced data analysis in social science research. The usage of popular statistical package SPSS has also been shown through many examples.It is important to adopt an appropriate methodology in quality research. The present book provides the basic and advanced level discussion on research methodology so that the researchers may become familiar with the art of using research methods and techniques.The book is intended to serve as a textbook for social science students at graduate and postgraduate level. The book can be taken as a well–organised guide for researchers in social science and other areas.About the Author:Dr. C R Kothari was Principal, College of Commerce and Associate Professor in the Department of Economic Administration and Financial Management, University of Rajasthan, Jaipur, Rajasthan (India).Dr. Gaurav Garg is Assistant Professor in Decision Sciences Area,Indian Institute of Management, Lucknow, Uttar Pradesh (India).