Data Structures and Program Design Using C++. A Self-Teaching Introduction to Data Structures and C++

Mercury Learning and Information, D. Malhotra, N. Malhotra

This book introduces the fundamentals of data structures using C++ in a self-teaching format. It covers managing large amounts of information, SEO, and creating Internet/Web indexing services. Practical analogies with real-world applications help explain technical concepts. The book includes end-of-chapter exercises such as programming tasks, theoretical questions, and multiple-choice quizzes.The course starts with an introduction to data structures and the C++ language, progressing through arrays, linked lists, queues, searching and sorting, stacks, trees, multi-way search trees, hashing, files, and graphs. Each chapter builds on the previous one, ensuring a comprehensive understanding of data structures.Understanding these concepts is crucial for managing large databases and optimizing web services. This book guides readers from basic to advanced data structure techniques, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data structures with C++.

CSS3 and SVG with Gemini. Explore advanced CSS3 and SVG techniques with Gemini technology

Mercury Learning and Information, Oswald Campesato

This book serves as a comprehensive guide to mastering CSS3 and SVG technologies, with a focus on their integration with Gemini. It begins with an introduction to Generative AI and prompt engineering, laying the foundation for using Gemini effectively. Detailed chapters explore CSS3 fundamentals and advanced 3D animation techniques, offering practical examples to enhance understanding.The book dives into scalable vector graphics (SVG) basics, advancing into complex designs, and demonstrates how to integrate SVG with Gemini for creating dynamic visuals. Structured to cater to both beginners and advanced learners, each chapter provides in-depth coverage of concepts and hands-on exercises to apply knowledge practically.Readers will gain skills to create professional-grade graphics and animations, leveraging the power of Gemini and combining it with CSS3 and SVG. This resourceful book is ideal for web developers, designers, and anyone aiming to expand their expertise in modern web technologies.

Linear Algebra. Learn the Foundations and Applications of Vector Spaces

Mercury Learning and Information, L. Shen, Haohao Wang, J. Wojdylo

This book introduces the fundamental concepts of linear algebra and applies the theorems in computation-oriented applications. It is suitable for a one-semester course and combines definitions and proofs with a focus on computational applications. Examples illustrate the use of software packages such as Mathematica, Maple, and Sage.The journey begins with vector spaces and progresses through linear transformations and operators. It then covers orthogonal bases and matrix decomposition. The material includes a brief introduction to aspects of abstract algebra related to linear algebra, such as groups, rings, modules, fields, and polynomials over fields.Understanding these concepts is crucial for solving complex problems in various fields. This book transitions readers from basic definitions to advanced computational applications, blending theoretical knowledge with practical skills. It is an essential resource for mastering linear algebra and its applications.

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.

Adobe InDesign. Creative Class for Beginners

Mercury Learning and Information, Lauren Saalmuller, Stephanie Torta

This book explores digital design, tailored for beginners eager to master Adobe InDesign, and serves as a valuable resource for experienced users refining their skills. It demystifies Adobe InDesign, defining essential tools through engaging projects and tutorials. Starting with navigating the interface, it lays a solid foundation by teaching how to open and create documents, understand the workspace, and tailor the program to individual needs.The book offers practical experience with projects such as web banners, social media ads, logos, flyers, posters, covers, newsletters, and booklets. Each project builds on the previous one, ensuring a comprehensive understanding of InDesign's capabilities. A complete “Save the Sharks” marketing campaign allows users to apply their skills in a real-world context, with options to customize content for personal campaigns.Understanding Adobe InDesign is crucial for creating professional-quality designs. This book transitions users from novices to confident designers, equipped with practical skills and comprehensive knowledge. It ensures a smooth learning journey, enhancing creative potential and proficiency in digital design. Companion files with video tutorials and project files enrich the learning experience, making it an essential resource for all levels.

Microsoft Excel Functions and Formulas. Master Excel Formulas and Functions for Efficient Data Management With Excel 2021/Microsoft 365

Mercury Learning and Information, Brian Moriarty, Bernd Held, Theodor Richardson

In this updated edition for Excel 2021, Microsoft 365, and previous versions, this book reveals the secrets of Excel through practical examples in a quick reference format. It includes new chapters on data analytics and shortcut keys, making it an essential resource for both beginners and experienced users. The book is designed to help you understand, create, and apply formulas efficiently.The journey begins with an introduction to formulas, followed by chapters on logical, text, date, and time functions. You will explore statistical, mathematical, and financial functions, along with database, lookup, and reference functions. The book also delves into conditional formatting, dynamic array formulas, special solutions, and user-defined functions, providing step-by-step instructions and ready-to-use Excel screenshots.By the end of the course, you will have mastered Excel's advanced formulas and functions, enabling you to perform complex data analysis and enhance your productivity. Companion files include video tutorials, over 250 worksheet examples, and all figures from the text, ensuring a comprehensive learning experience.

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python

Mercury Learning and Information, Oswald Campesato

This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

Data Science Fundamentals Pocket Primer. An Essential Guide to Data Science Concepts and Techniques

Mercury Learning and Information, Oswald Campesato

This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.Understanding data science is crucial in today's data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills.The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

The AI Marketing Playbook. Mastering the Latest AI Tools and Techniques for Next-Gen Marketing Success

Mercury Learning and Information, Mark Lamplugh

This book offers a comprehensive guide to integrating AI into modern marketing strategies, transforming how businesses engage with audiences. It begins with an overview of AI’s role in marketing, its evolution, and its benefits in driving innovation. Early chapters cover foundational topics like AI, machine learning, and data preparation for effective AI implementation.The book then explores practical applications, such as analyzing customer behavior for personalized experiences and using AI-powered chatbots for improved customer service. You’ll learn to apply image and video recognition for visual marketing and leverage AI for social media strategies that boost engagement. The book also covers predictive analytics, AI-driven email marketing, and techniques to optimize SEO and content marketing.Further chapters focus on automating marketing processes and using AI to support sales enablement with actionable insights. The final chapter discusses ethical considerations and the future of AI in marketing, emphasizing the balance between automation and human creativity. This book equips marketing professionals and business leaders with the tools to harness AI’s potential for impactful marketing strategies.

Python 3 and Data Analytics Pocket Primer. A Quick Guide to NumPy, Pandas, and Data Visualization

Mercury Learning and Information, Oswald Campesato

This book, part of the best-selling Pocket Primer series, introduces readers to the fundamental concepts of data analytics using Python 3. The course begins with a concise introduction to Python, covering essential programming constructs and data manipulation techniques. This foundation sets the stage for deeper dives into data analytics, emphasizing the importance of data cleaning, a critical step in any data analysis process.Following the Python basics, the course explores powerful libraries such as NumPy and Pandas for efficient data handling and manipulation. It then delves into statistical concepts, providing the necessary background for understanding data distributions and analytical methods. The course culminates in data visualization techniques using Matplotlib and Seaborn, demonstrating how to effectively communicate insights through graphical representations.Throughout the course, numerous code samples and practical examples are provided, reinforcing learning and offering hands-on experience. Companion files with source code and figures are available online, supporting the learning journey. This comprehensive guide equips both beginners and seasoned professionals with the skills needed to excel in data analytics.

A.I. Revealed. Exploring AI foundations, advanced applications, and ethical considerations

Mercury Learning and Information, Erik Herman

Unlock the transformative power of artificial intelligence in this comprehensive journey through its foundational principles and practical applications. Start by grasping the essentials of AI and machine learning, progressing to advanced topics like deep learning, neural networks, and cutting-edge applications in natural language processing and computer vision. Each concept is delivered with real-world relevance, ensuring a clear understanding of the theory and its implementation.Dive deeper into the ethical dimensions of AI, exploring critical issues such as bias and fairness. Gain insights into how AI is revolutionizing industries through case studies, bridging the gap between theoretical knowledge and practical application. The course culminates with an exploration of emerging technologies and the future of AI, equipping you with foresight into its transformative potential.Whether you're taking your first steps in AI development or seeking to enhance your existing skills, this course offers a structured pathway to mastery. With hands-on guidance, you'll develop a robust foundation and confidence to contribute meaningfully in the rapidly evolving field of artificial intelligence.

Python 3 and Machine Learning Using ChatGPT / GPT-4. Harness the Power of Python, Machine Learning, and Generative AI

Mercury Learning and Information, Oswald Campesato

This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E.The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable.Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.

Artificial Intelligence and Expert Systems. Techniques and Applications for Problem Solving

Mercury Learning and Information, I. Gupta, G. Nagpal

This book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making.Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.

Embedded Vision. Mastering Advanced Techniques for Real-Time Image Processing and Analysis

Mercury Learning and Information, S. R. Vijayalakshmi, S. Muruganand

Embedded vision integrates computer vision into machines using algorithms to interpret images or videos. This book serves as an introductory guide for designing vision-enabled embedded products, with applications in AI, machine learning, industrial, medical, automotive, and more. It covers hardware architecture, software algorithms, applications, and advancements in cameras, processors, and sensors.The course begins with an overview of embedded vision, followed by industrial and medical vision applications. It then delves into video analytics, digital image processing, and camera-image sensors. Subsequent chapters cover embedded vision processors, computer vision, and AI integration. The final chapter presents real-time vision-based examples.Understanding these concepts is vital for developing advanced vision-enabled machines. This book takes readers from the basics to advanced topics, blending theoretical knowledge with practical applications. It is an essential resource for mastering embedded vision technology across various industries.

Microsoft Excel 2021 Programming Pocket Primer. A Comprehensive Guide to Mastering Excel VBA

Mercury Learning and Information, Julitta Korol

This book, part of the successful Pocket Primer series, is designed for those who need to quickly master Excel programming fundamentals. It offers a concise, efficient introduction to VBA, ensuring you only learn what you need to feel comfortable with Excel VBA. The concepts learned in this book also apply to Access programming. The nine chapters progressively introduce you to programming in Microsoft Excel 2021.Starting with a quick guide to Excel macros and the VBA programming environment, the book moves on to fundamental concepts and writing function procedures. You will learn to add decision-making capabilities and looping statements to your programs, store and manage multiple values using arrays and collections, and utilize built-in tools for testing and debugging your code.By the end of the course, you will have a solid foundation in Excel VBA, enabling you to automate tasks and enhance your productivity. This structured approach makes the book an essential resource for mastering Excel VBA efficiently and effectively.

CSS3 and SVG with Claude 3. Mastering CSS3 and SVG: Techniques for Advanced Data Visualization and Animation

Mercury Learning and Information, Oswald Campesato

This book is an essential guide for mastering advanced CSS3 and SVG techniques, ideal for web developers aiming to create visually striking and interactive web content. It starts with an in-depth look at CSS3, covering shadow effects, gradients, 2D and 3D transforms, and sophisticated animations. You'll learn to implement complex styling, use media queries for responsive design, and create dynamic keyframe animations. Security practices and effective use of CSS3 are also addressed.Moving to SVG, the book explores creating scalable vector graphics for advanced data visualizations and animations. You'll learn to use SVG elements like shapes, gradients, and Bezier curves, and how to seamlessly integrate them with CSS3 for dynamic, interactive graphics. Detailed tutorials on SVG filters, transforms, and animations enable you to build intricate visual effects and engaging content. Practical examples show how to combine CSS3 and SVG for responsive, high-performance web projects.By the end, you’ll have the skills to craft compelling web applications using CSS3 and SVG, whether you're a beginner or an experienced developer looking to elevate your web design expertise.