Machine Learning Applications In Software Engineering

An accessible introduction to the fundamentals of calculus needed to solve current problems in engineering and the physical sciencesI ntegration is an important function of calculus, and Introduction

The entire process of designing and using a data warehouse is detailed in this work, encompassing requirement specification, conceptual, logical, and physical design, and tuning and evolution manageme

Enables readers to apply the fundamentals of differential calculus to solve real-life problems in engineering and the physical sciences Introduction to Differential Calculus fully engages readers by p

The spatial variation of seismic ground motions denotes the differences in the seismic time histories at various locations on the ground surface. This text focuses on the spatial variability of the mo

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagno

Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to m

We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from Retail to Manufacturing to Hea

This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. Ne

Many engineers and students experience difficulty in making sense of issues associated with IP and ATM teletraffic techniques. This is partly because of the subject itself: networks are flexible, comp

If you’re an app developer with a solid foundation in Objective-C, this book is an absolute must—chances are very high that your company’s iOS applications are vulnerable to attack. That’s because mal

This book contains the refereed proceedings of the 16th International Conference on Agile Software Development, XP 2015, held in Helsinki, Finland, in May 2015.While agile development already has beco

This book contains the refereed proceedings of the 15th International Conference on Agile Software Development, XP 2014, held in Rome, Italy, in May 2014.Because of the wide application of agile appro

This book contains the refereed proceedings of the 13th International Conference on Agile Software Development, XP 2012, held in Malmo, Sweden, in May 2011.In the last decade, we have seen agile and l

This book contains the refereed proceedings of the 12th International Conference on Agile Software Development, XP 2011, held in Madrid, Spain, in May 2011.The year 2011 marked the 10th anniversary of

This book constitutes the refereed proceedings of the 8th International Conference on Agile Processes in Software Engineering and eXtreme Programming, XP 2008, held in Limerick, Ireland, in June 2008.

This book constitutes the refereed proceedings of the 7th International Conference on Extreme Programming and Agile Processes in Software Engineering, XP 2006, held in Oulu, Finland, June 2006. The bo

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

ELECTRICAL ENGINEERING IN CONTEXT: SMART DEVICES, ROBOTS & COMMUNICATIONS by bestselling author Roman Kuc describes the basic components and technologies that make today's computer-assisted system