Data Science for IoT Engineers. Master Data Science Techniques and Machine Learning Applications for Innovative IoT Solutions

Mercury Learning and Information, P. G. Madhavan

This book introduces data science to professionals in engineering, physics, mathematics, and related fields. It serves as a workbook with MATLAB code, linking subject knowledge to data science, machine learning, and analytics, with applications in IoT. Part One integrates machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two develops a nonlinear, time-varying machine learning solution for modeling real-life business problems.Understanding data science is crucial for modern applications, particularly in IoT. This book presents a dynamic machine learning solution to handle these complexities. Topics include machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.The journey begins with data science and machine learning, covering systems theory and linear algebra. Advanced concepts like the Kalman filter and Bayesian estimation lead to developing a dynamic machine learning model. The book ends with practical applications using digital twins.

Prompt Engineering Using ChatGPT. Crafting Effective Interactions and Building GPT Apps

Mercury Learning and Information, Mehrzad Tabatabaian

This book is designed for mastering prompt engineering in artificial intelligence, focusing on ChatGPT, GPT-4, and GPT plug-ins. It explores fundamental principles, practical techniques, and real-world applications. Readers will learn the role of prompts in AI interactions, the anatomy of well-constructed prompts, and various prompt styles. The book also covers setting constraints to guide AI responses and ensure ethical interactions, making it ideal for both beginners and advanced users.The journey begins with the foundations of prompts and crafting contextual prompts. It progresses to asking specific questions, providing constraints, and creating diverse content prompts. Advanced chapters cover debugging, iterating prompts, and using GPT-4 with plug-ins. The book concludes with real-world applications, future trends, and ethical considerations, ensuring a comprehensive understanding of prompt engineering.Understanding these concepts is crucial for effective AI interactions. This book transitions readers from basic to advanced prompt engineering, blending theoretical knowledge with practical skills. It is an essential resource for mastering prompt engineering and building innovative GPT applications.

Multiphysics Modeling Using COMSOL 5 and MATLAB. Explore Advanced Techniques for Simulation and Analysis

Mercury Learning and Information, Roger W. Pryor

This updated edition of the book explores COMSOL 5 and MATLAB, essential modeling tools for engineers and scientists. It includes five new models and covers systems from 0D to 3D, introducing numerical analysis techniques in COMSOL 5.6 and MATLAB. Using examples from electromagnetic, electronic, optical, thermal physics, and biomedical models, the book provides fundamental concepts and step-by-step instructions for building each model. Companion files include all models and related animations.The course starts with modeling methodology and material properties, progressing through 0D electrical circuit interface, 1D, 2D, 2D axisymmetric, 2D simple and complex mixed mode, and 3D modeling. Advanced topics like Perfectly Matched Layer models and Bioheat models are also covered. Each chapter builds on the previous one, ensuring a comprehensive understanding of modeling techniques.Understanding these concepts is crucial for developing and analyzing engineering, science, and biomedical systems. This book transitions readers from basic to advanced modeling, combining theoretical knowledge with practical skills. Companion files enhance the learning experience, making this an essential resource for mastering COMSOL 5 and MATLAB.

Java for Developers Pocket Primer. A Concise Guide to Mastering Java Programming

Mercury Learning and Information, Oswald Campesato

As part of the best-selling Pocket Primer series, this book offers a thorough introduction to Java development for beginners. It provides a fast-paced overview of core Java concepts and APIs, using Java 8 code samples. Companion files with source code are included.The journey begins with an introduction to Java, covering Boolean logic, Unicode, and user input. It progresses through methods, constructors, loops, arrays, and recursion. The course then delves into object-oriented programming (OOP) concepts and data structures. Advanced topics include streams, file handling, and integrating Java with SQL. The book also lists new features from Java 9 to Java 13.Understanding these concepts is crucial for developing efficient Java applications. This book transitions readers from basic to advanced Java programming, blending theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an essential resource for mastering Java development.

Industrial Automation and Robotics. A Comprehensive Guide to Automated Systems and Robotics

Mercury Learning and Information, Jean Riescher Westcott, A.K. Gupta, S.K. Arora

This course offers an introduction to automation and robotics for industrial applications. It begins with essential concepts of hydraulics and pneumatics, explaining their roles in industrial automation. Next, it delves into circuits and their applications in hydraulic, pneumatic, and fluidic design. The latter part focuses on electric and electronic controls, ending with robotics, robotic programming, and their industrial applications. Understanding these concepts is crucial for anyone looking to work in automation, as they provide the foundation for designing and maintaining automated systems. The course covers everything from basic laws and principles to advanced topics like the use of UAVs and AI in industrial automation.Throughout the course, you'll explore real-world applications and see how these principles are applied in industry. This structured approach ensures you gain a comprehensive understanding, from fundamental concepts to advanced automation and robotics techniques, preparing you for a career in this dynamic field.

Discrete Mathematics With Cryptographic Applications. A Self-Teaching Guide to Unlocking the Power of Advanced Concepts and Computational Techniques

Mercury Learning and Information, Alexander I. Kheyfits

This book offers a comprehensive guide to discrete mathematics and its applications to cryptography. It is designed for students and professionals in fields such as discrete mathematics and finite mathematics, with all necessary prerequisites clearly explained and illustrated. The text introduces key concepts in number theory, coding theory, and information theory, which are essential for understanding cryptography.Understanding discrete mathematics is crucial for anyone working in cryptography and related fields. The book begins with a survey of elementary functions and moves on to propositional algebra, set theory, and algebraic structures like groups, rings, and fields. It covers binary relations, combinatorics, and elements of number theory, which are fundamental to cryptographic methods.Readers will explore topics such as Boolean functions, hashing functions, cryptographic maps, combinatorial circuits, and graph theory. The book also delves into advanced areas like finite automata, game theory, and Turing machines. Through numerous examples, problems, and solutions, readers will gain a solid foundation in discrete mathematics and its cryptographic applications.

Advanced Excel 365. Master Excel 365 with practical tips and advanced AI integrations

Mercury Learning and Information, Ritu Arora

Excel is more than a spreadsheet—it's a powerhouse for data analysis, decision-making, and business productivity. This course begins with foundational concepts, such as cell referencing, formulas, and functions, before moving into tools like data validation, pivot tables, and conditional formatting. You'll also explore advanced techniques for working across multiple worksheets and creating impactful charts.The journey continues with in-depth coverage of VBA programming, where you'll learn to automate repetitive tasks, debug errors, and create user-friendly applications. Starting with the basics of macros and variables, you'll advance to building custom add-ins and employing sophisticated VBA techniques to handle complex data processes seamlessly. Each lesson combines practical examples with actionable insights.By the end of the course, you'll possess a versatile toolkit to handle everything from daily spreadsheet tasks to creating powerful custom solutions. Whether you're preparing reports, analyzing trends, or developing VBA-driven applications, this course equips you to work smarter and achieve more.

Natural Language Processing and Machine Learning for Developers. A Practical Guide to Advanced Techniques and Applications of NLP

Mercury Learning and Information, Oswald Campesato

This book introduces developers to basic concepts in NLP and machine learning, providing numerous code samples to support the topics covered. The journey begins with introductory material on NumPy and Pandas, essential for data manipulation. Following this, chapters delve into NLP concepts, algorithms, and toolkits, providing a solid foundation in natural language processing.As you progress, the book covers machine learning fundamentals and classifiers, demonstrating how these techniques are applied in NLP. Practical examples using TF2 and Keras illustrate how to implement various NLP tasks. Advanced topics include the Transformer architecture, BERT-based models, and the GPT family of models, showcasing the latest advancements in the field.The final chapters and appendices offer a comprehensive overview of related topics, including data and statistics, Python3, regular expressions, and data visualization with Matplotlib and Seaborn. Companion files with source code and figures ensure a hands-on learning experience. This book equips you with the knowledge and tools needed to excel in NLP and machine learning.