Computational Intelligence and Feature Selection

Computational Intelligence and Pattern Analysis in Biology Informatics 

by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang

This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, seco...

Price:  $116.14  |  Publisher:  Wiley  |  Release:  2010

Introduction to Python for Computational Science and Engineering 

by Hans Fangohr

This book summarises a number of core ideas relevant to Computational Engineering and Scientific Computing using Python. The emphasis is on introducing some basic Python (programming) concepts that are relevant for numerical algorithms. The later chapters touch upon numerical libraries such as numpy and scipy each of which deserves much m...

Free ebook  |  Publisher:  Self-publishing  |  Release:  2015

Advanced R Statistical Programming and Data Models 

by Matt Wiley, Joshua F. Wiley

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes ...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2019

Artificial Intelligence and Machine Learning Fundamentals 

by Zsolt Nagy

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examp...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018

Modern Data Mining Algorithms in C++ and CUDA C 

by Timothy Masters

Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, ...

Price:  $33.68  |  Publisher:  Apress  |  Release:  2020

Productive and Efficient Data Science with Python 

by Tirthajyoti Sarkar

This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.You'll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with ...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2022

Microsoft Excel Formulas and Functions 

by Paul McFedries

Use Excel 365 and Excel 2021 core features to build spreadsheets that solve business problems and deliver reliable answers. Drawing on his unsurpassed experience, Paul McFedries helps you make the most of formulas and functions, including recent improvements ranging from dynamic arrays to XLOOKUP and LET. McFedries step-by-step projects w...

Price:  $43.06  |  Publisher:  Microsoft Press  |  Release:  2022

Windows Server 2012: Up and Running 

by Samara Lynn

If your organization plans to move to a cloud infrastructure from a LAN or WAN, this book shows you how to do it efficiently with Windows Server 2012. Experienced Windows administrators will learn how to deploy, configure, and manage the server's expanded capabilities and features step-by-step, using clear examples and numerous scree...

Price:  $33.96  |  Publisher:  O'Reilly Media  |  Release:  2012