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This book explores the transformative potential of AI, machine learning (ML), and deep learning (DL) algorithms in revolutionizing the food industry. By overcoming the limitations of human involvement, AI ensures a more reliable demand-supply chain and enhances food safety.
This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations.
Bringing science and data science together, this ground-breaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
This book gives readers a deep insight into cryptography and discusses the various types of cryptography algorithms used for the encryption and decryption of data such as asymmetry encryption, digital signatures, and hash functions. It also covers the mathematics behind the use of algorithms for encryption and decryption.
This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios.
Bringing science and data science together, this ground-breaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
DESCRIPTION In today's rapidly evolving technological landscape, staying competitive in the field of software development requires a deep understanding of fundamental programming concepts and the ability to solve complex problems efficiently. This book aims to be your comprehensive guide to acing technical interviews in C, C++, data structures, and database management systems (DBMS).The journey to becoming a proficient software engineer is often paved with rigorous technical interviews that test your knowledge, problem-solving abilities, and coding skills. This book compiles a wide range of interview questions and answers, providing you with the insights and practice needed to excel in any technical interview.Each chapter includes a series of questions that range from basic to advanced levels. The questions are designed to test various aspects of your knowledge and problem-solving skills. Detailed solutions and explanations are provided to help you understand the reasoning behind each answer.KEY FEATURES ¿ Understand arrays, linked lists, stacks, queues, trees, and graphs for problem-solving.¿ Learn time and space complexity for solution optimization.¿ Learn advanced concepts of C, C++, data structures, and DBMS.WHAT YOU WILL LEARN¿ Advanced topics about C, C++, DBMS, and data structures.¿ Understand pointers, including pointer arithmetic and multi-level pointers.¿ Utilize templates and the Standard Template Library for generic and efficient code.¿ Algorithmic thinking and problem-solving techniques specific to data structures and algorithms.WHO THIS BOOK IS FORThis book is ideal for students and graduates preparing for campus placements or entry-level positions, professionals seeking job transitions, and self-learners aiming to enhance their programming and problem-solving skills.
This book provides detailed information on mobile health applications, biodata management and analytics, medical imaging, personalized and public health systems, and biosignal processing. Focusing on medical informatics, it highlights engineering applications and methodologies involved in data evaluations.
Ethos, Technology, and AI in Contemporary Society: The Character in the Machine explores our current understanding of and attitudes toward ethos, credibility, trust, and technology. This book will be of interest to students and scholars in the fields of Rhetoric, Communication Studies, and many others.
Game AI Uncovered: Volume Three continues the series with another collection of chapters from 18 of the top game AI professionals and researchers, from around the world. Each chapter includes wisdom, ideas, tips and tricks that were used in the development of video games.
Game AI Uncovered: Volume Three continues the series with another collection of chapters from 18 of the top game AI professionals and researchers, from around the world. Each chapter includes wisdom, ideas, tips and tricks that were used in the development of video games.
DESCRIPTION The Modern Software Engineering Guidebook makes an effort to explain how one may pursue a noteworthy career in emerging technologies. Through a series of steps, this book helps the reader gain a deeper awareness of the factors that influence one's career and progressive values. This book's focus is on conceptual entities, with an emphasis on moving forward with more modern software engineering advancement methodologies.The book guides how readers should investigate and take advantage of untapped prospects while focusing on critical areas of their careers. Starting with the software development lifecycle (SDLC) and its steps like gathering requirements, design, coding, testing, and maintenance. Learn methods like waterfall and agile, and how to write a software requirements document (SRD). It includes design principles, object-oriented design (OOD), and coding best practices. The book also discusses software reliability, testing methods, and measuring code quality. Find tips on managing software changes and maintenance. Lastly, explore trends like DevOps, cloud development, and using AI and ML in software.With the help of this book, readers will find it simpler to increase their employability and relevance to the job market, enabling them to quickly advance into fulfilling careers.KEY FEATURES ● Learn the phases of software engineering, including requirements, design, coding, testing, and maintenance.● Understand software design, structured coding techniques, and testing strategies to ensure quality and reliability.● Get familiar with project planning, current trends like software reliability, reuse, and the importance of quality assurance and reviews.WHAT YOU WILL LEARN● Understand the phases of software engineering and the latest advancements in software engineering.● Grasp the importance of data gathering, analysis, and design.● Master design architecture and structured coding styles.● Understand different testing concepts and methods.● Get familiar with maintenance tools and software quality metrics.WHO THIS BOOK IS FORThis book targets aspiring and intermediate software developers seeking a solid foundation in SDLC. It benefits programmers, engineers, and IT professionals who want to create high-quality software.
DESCRIPTIONStatistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of statistics and how to use Python to analyze data. You will learn to find patterns, quantify uncertainty, and make data-driven predictions with confidence. You will start with basic statistics and then use Python libraries like NumPy and Pandas for data manipulation. You will also learn data visualization with Matplotlib and Seaborn to create informative charts. The book covers probability theory and statistical inference to help you make data-driven decisions. You will be exploring regression and time series analysis with ARIMA for forecasting. Finally, the book introduces ML algorithms, preparing you for real-world data science projects.The book focuses on applying statistics rather than theory, using popular libraries like NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn. Reading this book will give you a good foundation for working with ML, business analytics, and data-driven business challenges.KEY FEATURES ● Learn the various aspects of statistics and its applications in real-world scenarios.● Learn about the various libraries in Python for working with data.● Adopt the learn-by-doing approach to solve real-world statistics problems.● Learn how statistics is applied to Machine Learning.WHAT YOU WILL LEARN● Learn the fundamentals of Python and its libraries like Numpy, Pandas, Matplotlib and Seaborn.● Grasp descriptive statistics and probability concepts.● Perform statistical inference with Chi-square, ANOVA, and regression analysis.● Skillfully navigate multivariate and time series analysis.● Apply statistical techniques in practical ML.WHO THIS BOOK IS FORThis book is for readers with basic Python knowledge who want to apply statistics in real-life scenarios, and those pursuing careers in data analytics, data engineering, data science, ML, and AI. It is also ideal for students beginning a course in statistics.
Bungie presents the Destiny Grimoire Anthology, a must-have collectible lore compendium designed and assembled for Destiny's devoted and enlightened scholars and lore lovers, as well as fans of fantasy and science fiction storytelling.
Rooted in original research and the author's experience working with thousands of kids and families, this book provides parents of young children ages eight and under with accessible and easy-to-implement strategies to raise tech-savvy children with healthy and safe online habits from the start.
The COVID-19 pandemic dominated our lives since its outbreak in the year 2020.
The reference text will enable the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry.
This book presents the framework and important key aspects of digital twins including various technologies with coverage of the digital twins in various industry and business applications. It gives the background in modeling and simulation, computer, sensor technology, and other areas required creating the next wave of digital twins.
This book delves into the heart of modern management practices, illuminated by the transformative power of Information and Communication Technologies (ICT) and digital synergy.
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