Angular and Deep Learning Pocket Primer. A Comprehensive Guide to AI and Expert Systems for Professionals

Mercury Learning and Information, Oswald Campesato

As part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored.The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles.Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.

Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science

Mercury Learning and Information, Oswald Campesato

This book, part of the best-selling Pocket Primer series, offers a comprehensive introduction to essential Python tools for data scientists. It begins with an overview of Python basics, followed by in-depth coverage of NumPy and Pandas, focusing on their features and applications. The text also addresses the critical tasks of writing regular expressions and performing data cleaning.Further sections delve into data visualization techniques and the use of Sklearn and SciPy, providing practical knowledge and skills for handling complex data analysis tasks. This structured approach ensures that readers gain a complete understanding of the tools and techniques necessary for effective data science.Designed to be accessible yet thorough, this book includes numerous code samples to reinforce learning. Companion files with source code are available for download, making it an invaluable resource for anyone looking to master Python for data science and enhance their data analysis capabilities.

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.

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

Mercury Learning and Information, Julitta Korol

This book, part of the successful Pocket Primer series, is designed for those who need to master Access programming fundamentals quickly. You only need this concise guide to get started and feel comfortable with VBA. The concepts learned here also apply to Excel programming. The book is divided into nine chapters, each progressively introducing you to programming in Microsoft Access 2021.Beginning with an introduction to Access VBA, the book covers the Visual Basic Editor, fundamental VBA programming concepts, and how to create both built-in and custom functions. You will learn to add decision-making capabilities and repeating actions to your programs, manage multiple values using arrays and collections, and utilize built-in tools for testing and debugging your code.This structured approach ensures that by the end of the course, you will have a solid foundation in Access programming. The companion files provide all the hands-on resources needed to complete chapter projects, making this an essential resource for mastering Access VBA efficiently and effectively.

XML Basics. A Comprehensive Guide to Understanding and Implementing XML

Mercury Learning and Information, S. Banzal

This book focuses on essential XML standards relevant to almost all developers. It investigates XML technologies applicable across a wide range of applications, rather than those limited to specific domains. While XML is a markup language, it is widely used by programmers. The book also covers supporting technologies layered on top of XML, such as XLinks, XSLT, Namespaces, Schemas, XHTML, RDDL, XPointers, XPath, SAX, and DOM.The journey begins with understanding XML and its syntax. It then explores Document Type Definitions (DTDs), Namespaces, and XHTML. Following this, the book delves into CSS Style Sheets, XML Schema Basics, XSL and XSLT, SOAP, DOM Programming Interface, SAX, XPath, XLink, XQuery, XPointer, XForms, XSL-FO, and using XML with Databases. The final chapters cover Web Services, providing a comprehensive understanding of how XML integrates into various applications.Mastering these standards and technologies is crucial for developers working with XML. This book transitions readers from basic XML syntax to advanced applications, blending theoretical concepts with practical examples. It is an essential resource for developers looking to leverage XML in their projects.

Excel Basics. Mastering Excel Foundation and Spreadsheets Efficiently through Formulas & Graphs

Mercury Learning and Information, Jeffrey Hsu, Gary Bronson

This book is designed for first-time or beginning Excel users, providing a comprehensive yet accessible introduction to mastering Microsoft Excel 2019 and previous versions. Starting with the basics, it guides readers through the foundational concepts and features of Excel, ensuring a solid understanding of this essential software. Key topics include an overview of Excel, formulas, functions, formatting, conditional features, graphs, charts, pivot tables, and using a spreadsheet as a database.The book is richly illustrated with screenshots, examples, applications, and exercises to reinforce learning. Suitable for professional reference, self-study, or instructor-led courses, it equips readers with the skills to enhance business and personal productivity. The content is structured to build from basic to advanced topics, making it a valuable resource for users at any stage of learning.With additional resources like tutorial videos, PowerPoint slides, sample syllabi, tests, and quizzes, this book ensures a thorough and engaging learning experience. By the end of the course, users will be proficient in Excel, capable of leveraging its full potential to streamline tasks and improve efficiency.

Python. An Introduction to Python Programming

Mercury Learning and Information, James R. Parker

This book introduces programming concepts using Python 3, designed for beginners and hobbyists with no prior programming experience. It covers loops, strings, functions, files, graphics, multimedia, algorithms, classes, and more. Many examples are based on video game development, making learning engaging and practical. The book uses a just-in-time presentation style, providing material when it's needed, and includes companion files with source code, exercises, projects, and figures.The course starts with an overview of modern computers and basic programming concepts. It progresses through topics like repetition, sequences, functions, file input/output, classes, graphics, data manipulation, and multimedia. The latter chapters focus on basic algorithms, programming for the sciences, writing good programs, parsing, and communicating using graphics and Pygame.By the end of the course, students will have a solid understanding of programming fundamentals, enhanced by practical applications in video game development. This approach not only makes learning enjoyable but also equips students with the skills needed for further studies in computer science and programming.

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.

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.

Empirical Cloud Security. A Guide To Practical Intelligence to Evaluate Risks and Attacks

Mercury Learning and Information, Aditya K. Sood

This book, updated to include the latest research and developments in cloud security, is essential for security professionals, DevOps engineers, penetration testers, cloud security engineers, and cloud software developers. It offers practical approaches to securing cloud infrastructure and applications against threats, attacks, and data breaches. The content is refined for better accessibility and engagement, providing a comprehensive guide to cloud security.The course starts with fundamental cloud security concepts and progresses to hands-on assessment techniques based on real-world case studies. It covers cloud architecture, IAM for authentication and authorization, network security, database and storage security, cryptography controls, secure code review, and monitoring and logging. The practical strategies for assessing security and privacy are crucial for building a robust cloud infrastructure.The journey concludes with advanced topics such as privacy in the cloud, identifying security flaws and attacks, and understanding the impact of malicious code. New case studies reveal how threat actors exploit cloud environments, offering preventative measures to enhance cloud security. This structured approach ensures a thorough understanding and practical application of cloud security principles.

Combating Cyberattacks Targeting the AI Ecosystem. Strategies to secure AI systems from emerging cyber threats, risks, and vulnerabilities

Mercury Learning and Information, Aditya K. Sood

Artificial intelligence is transforming industries, but it also exposes organizations to new cyber threats. This course begins by introducing the foundational concepts of securing large language models (LLMs), generative AI applications, and the broader AI infrastructure. Participants will explore the evolving threat landscape, gaining insights into how attackers exploit vulnerabilities in AI systems and the risks posed by trust and compliance failures.The course provides real-world case studies to highlight attack vectors like adversarial inputs, data poisoning, and model theft. Participants will learn practical methods for identifying and mitigating vulnerabilities in AI systems. These insights prepare learners to proactively safeguard their AI infrastructures using advanced security assessment techniques.Finally, the course equips participants with actionable strategies to defend AI systems. You’ll learn to protect sensitive data, implement robust security measures, and address ethical challenges in AI. By the end, you’ll be ready to secure AI ecosystems and adapt to the fast-evolving AI security landscape.

WORKING WITH grep, sed, AND awk Pocket Primer. A Quick Guide to Mastering Powerful Command Line Tools

Mercury Learning and Information, Oswald Campesato

This book introduces readers to three powerful command-line utilities—grep, sed, and awk—that can create simple yet powerful shell scripts. Using the bash shell, it focuses on small text files to help readers understand these tools. Grep searches for patterns in data, sed modifies data, and awk performs tasks on pattern matches. Aimed at those new to the bash environment, the book is also valuable for those with some experience.The journey starts with grep, teaching how to search for specific words or patterns in data. It then moves to sed, showing how to change or modify data efficiently. Finally, it delves into awk, a versatile programming language for searching and processing data files. The book also includes a chapter on using regular expressions with these tools, enhancing your scripting capabilities.Mastering these utilities is crucial for efficient data handling and automation in a bash environment. This book transitions readers from basic to advanced command-line skills, blending theory with practical examples. It is an essential resource for anyone looking to harness the full power of bash scripting.

Understanding PTSD. Exploring Trauma, Myths, Assessment, and Recovery

Mercury Learning and Information, Austin Mardon

Understanding PTSD offers a comprehensive exploration of Post-Traumatic Stress Disorder (PTSD), tracing its history, debunking common myths, and examining its complex nature. The book begins with a personal narrative to ground the reader, before delving into the origins and evolution of PTSD, particularly during wartime. It addresses widespread misconceptions, emphasizing that PTSD affects diverse populations, not just soldiers. The assessment methods and criteria are discussed, alongside the brain's response to various traumas.Key chapters explore the potential causes of PTSD, including genetic, environmental, and psychological factors. The book also covers the dangers associated with PTSD, various types of PTSD, and symptoms. It provides insights into how PTSD manifests in different age groups and reviews the most effective treatments, such as cognitive therapy and medication.Further chapters discuss comorbidities like depression and substance abuse, the gaps in current knowledge, and ongoing research. The public's perception of PTSD, its portrayal in the media, and the impact on families are also examined. The book concludes with practical advice on supporting individuals with PTSD and a detailed directory of resources available in North America, Europe, and India.

Python for TensorFlow Pocket Primer. A Quick Guide to Python Libraries for TensorFlow Developers

Mercury Learning and Information, Oswald Campesato

As part of the best-selling *Pocket Primer* series, this book prepares programmers for machine learning and deep learning with TensorFlow. It begins with a quick introduction to Python, followed by chapters on NumPy, Pandas, Matplotlib, and scikit-learn. The final chapters provide TensorFlow 1.x code samples, including detailed examples for TensorFlow Dataset, crucial for TensorFlow 2.The journey starts with Python basics and progresses through essential data manipulation and visualization libraries. You'll explore machine learning fundamentals with scikit-learn before diving into TensorFlow, learning to construct data pipelines with TensorFlow Dataset APIs like map(), filter(), and batch().Understanding these concepts is vital for modern AI applications. This book transitions readers from basic programming to advanced machine learning and deep learning techniques, blending theory with practical skills. Companion files with source code enhance learning, making this an essential resource for mastering Python, machine learning, and TensorFlow.

Newtonian Mechanics. Exploring the Principles of Classical Physics from Fundamentals to Advanced Applications

Mercury Learning and Information, Derek Raine

Newtonian mechanics is fundamental in physics education due to its intellectual significance, diverse applications, and its role in teaching modeling and problem-solving. This text covers both introductory and advanced topics, making it suitable for extended study. Emphasizing problem-solving, it guides readers through the process of constructing models and finding solutions, thus enhancing their analytical skills.Starting with mechanical models and forces, the course progresses through kinematics, energy, and motion, providing a solid foundation. Further chapters delve into momentum, orbital motion, and oscillations, offering insights into dynamic systems. Advanced topics like rigid bodies, stability of motion, and Lagrangian and Hamiltonian mechanics ensure a comprehensive understanding.The journey through this course equips learners with the skills to approach complex problems, construct effective models, and develop robust solutions, making it invaluable for students aiming to excel in physics and related fields.

Python 3 Using ChatGPT / GPT-4. Harnessing AI for Efficient Python Programming

Mercury Learning and Information, Oswald Campesato

This book is for people who want to learn Python 3 and how to use ChatGPT with Python. It starts with an introduction to Python programming, covering data types, number formatting, Unicode handling, and text manipulation. The book then covers loops, conditional logic, reserved words, user input, exception management, and command-line arguments.The journey continues into Generative AI, discussing its distinction from Conversational AI. Popular platforms like ChatGPT and GPT-4 are explored, along with their strengths, weaknesses, and potential applications. The book shows how to generate Python 3 code samples via ChatGPT using the “Code Interpreter” plugin.Understanding these concepts is crucial for navigating Python and AI. This book transitions readers from basic Python programming to advanced AI applications, blending theory with practical skills. Companion files with code samples and figures enhance learning, making this an essential resource for mastering Python and ChatGPT.

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

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

This book introduces the fundamentals of data structures using Java in a self-teaching format. It covers managing large databases, effective SEO, and creating web indexing services. Real-world analogies help explain technical concepts. Each chapter includes programming tasks, theoretical questions, and multiple-choice quizzes.The course begins with an introduction to data structures and Java, moving 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 thorough understanding of data structures.Understanding these concepts is crucial for managing information and optimizing web services. This book guides readers from basic to advanced techniques, blending theory with practical skills. It is an essential resource for mastering data structures with Java, enhanced by end-of-chapter exercises and real-world examples.

Python 3 Data Visualization Using Google Gemini. Unlock the Power of Python and Google Gemini for Stunning Data Visualizations

Mercury Learning and Information, Oswald Campesato

This book teaches Python 3 programming and data visualization, exploring cutting-edge techniques with ChatGPT/GPT-4 for generating compelling visuals. It starts with Python essentials, covering basic data types, loops, functions, and advanced constructs like dictionaries and matrices. The journey progresses to NumPy's array operations and data visualization using libraries such as Matplotlib and Seaborn. The book also covers tools like SVG graphics and D3 for dynamic visualizations.The course begins with foundational Python concepts, moves into NumPy and data visualization with Pandas, Matplotlib, and Seaborn. Advanced chapters explore ChatGPT and GPT-4, demonstrating their use in creating data visualizations from datasets like the Titanic. Each chapter builds on the previous one, ensuring a comprehensive understanding of Python and visualization techniques.These concepts are crucial for Python practitioners, data scientists, and anyone in data analytics. This book transitions readers from basic Python programming to advanced data visualization, blending theoretical knowledge with practical skills. Companion files with code, datasets, and figures enhance learning, making this an essential resource for mastering Python and data visualization.

Multi-Cloud Administration Guide. Manage and Optimize Cloud Resources across Azure, AWS, GCP, and Alibaba Cloud

Mercury Learning and Information, Jeroen Mulder

This is a comprehensive resource designed for IT professionals and cloud architects navigating the complexities of multi-cloud environments. As organizations increasingly adopt multi-cloud strategies, this guide provides essential frameworks and practical insights into managing and optimizing cloud resources across major platforms, including AWS, Azure, GCP, and Alibaba Cloud.The book begins with an exploration of Cloud Adoption Frameworks (CAFs), offering a structured approach to cloud adoption that emphasizes governance, security, and operational excellence. Subsequent chapters delve into key aspects of cloud administration, such as virtualizing and managing connectivity, storage, and compute resources. The guide also addresses advanced topics like creating interoperability between clouds, managing data governance, and ensuring data security across multiple cloud platforms.In addition to technical insights, the guide covers critical areas like access management, cloud security, and compliance automation, equipping readers with the knowledge to secure and streamline multi-cloud operations. By offering best practices, real-world examples, and in-depth analyses, this book empowers professionals to efficiently manage multi-cloud environments and leverage the full potential of cloud technologies.

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.

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.

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++.

Data Wrangling Using Pandas, SQL, and Java. A Comprehensive Guide to Data Cleaning and Transformation

Mercury Learning and Information, Oswald Campesato

This book is designed for aspiring data scientists and those involved in data cleaning. It covers features of NumPy and Pandas, along with creating databases and tables in MySQL. It also addresses various data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available from the publisher.Understanding data cleaning and manipulation is vital for data scientists. This book provides a comprehensive introduction to essential tools and techniques. From Python basics to advanced data wrangling, it equips readers with the skills needed to manage and clean data effectively.The journey begins with an introduction to Python and progresses through working with data, Pandas, and SQL. It also covers Java, JSON, XML, and specific data cleaning tasks. The book culminates with detailed data wrangling techniques, ensuring readers gain practical, hands-on experience in data management.

Basic Electronics. Theory and Practice

Mercury Learning and Information, Sean Westcott, Jean Riescher Westcott

This updated edition introduces students and hobbyists to electronics, covering microcontrollers, sensors, and wireless communication. Each chapter includes a lab, progressing to building a robot with Arduino and Netduino. New material on Raspberry Pi and Python is included, with companion files featuring videos and code samples.The course begins with basic electronics concepts, building circuits, and understanding components. It covers digital theory and practical applications with sensors, motors, and microcontrollers. Topics include electricity theory, currents, circuits, tools, safety, and components like resistors, capacitors, diodes, and transistors. Advanced topics include power supplies, soldering, digital theory, integrated circuits, memory, and microcontrollers.These concepts are crucial for innovation in electronics. This book transitions readers from basic labs to constructing a robot using open-source hardware. It covers Raspberry Pi projects and explores cybersecurity and IoT. Appendices include math for electronics, a timeline of innovations, careers in electronics, and a glossary. This guide provides both theoretical knowledge and practical skills, making it invaluable for mastering electronics.