Machine Learning Applications In Software Engineering

Intended as a textbook for undergraduate courses in heat transfer for students of mechanical, chemical, aeronautical, and metallurgical engineering, or as a reference for professionals in industry, t

Provide your mechanical engineering students with a solid understanding of statics without the overload of extraneous detail in Andrew Pytel and Jaan Kiusalaas' ENGINEERING MECHANICS: STATICS, 4E. The

GATEWAY TO ENGINEERING, 2E helps students build a solid foundation in technological literacy as they study engineering-related careers and educational pathways. This book introduces middle school stud

Project Lead the Way, Inc. (PLTW) is a pioneer in the development of project- and problem-based curriculum for middle school technology and engineering education . The all-new Gateway to Engineering

With the rapid development of Machinery, Materials Science and Engineering Application, discussion on new ideas related mechanical engineering and materials science arise. In this proceedings volume t

Deep Learning is now ubiquitous with applied machine learning. All of the technology giants (e.g. Google, Microsoft, Apple, etc.) are focusing on deep learning based techniques for data analytics and

A handy reference for technicians who want to understand the nature, properties and applications, of engineering ceramics. The book meets the needs of those working in the ceramics industry, as well a

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking.

This book provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes. Combining theoretical and applied research from an i

This edited volume brings together perspectives that find mutual kinship in a view of language as an embodied, semiotic, symbolic tool used for communicative and interactional purposes and an understa

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk a

This book covers all aspects of operational modal analysis for civil engineering, from theoretical background to applications, including measurement hardware, software development, and data processing

This is a comprehensive book for quick reference and review of metallurgical topics in an objective type questionswer format. Contains over 6,000 questions with answers.FeaturesCan be used as a rev

Zill presents readers with the sixth edition of his comprehensive guide to the mathematical concepts and equations involved in engineering. He has organized the twenty chapters that make up the main b

Although cognitive engineering has gained widespread acceptance as one of the most promising approaches to addressing and preventing difficulties with human-machine coordination and collaboration, it

This book gives the latest research advances in the field of mathematics applications in engineering sciences. The book will provide a reference for applications of mathematics in engineering, offerin

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology.Manufacturing Intelligence for Industrial Engineer

An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenanceA road map to the current challenges and available opportunities for the research

Microbial engineering is the study of microorganisms and microbial ecology. Microbial engineering has applications in varied areas such as industrial fermentation, microbial degradation, medicine, etc