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Podcasts
Mercury Learning and Information, Jean E. Tardy
This book delves into Generative AI and the potential for AI to achieve consciousness. It covers historical and modern perspectives on AI, from ancient myths to the Turing Test and current advancements. The book explores the theoretical and practical aspects of creating a conscious AI, including specifications for synthetic consciousness and integrating AI with human cognition. It questions whether generative AI can meet traditional criteria of consciousness.The journey begins with understanding consciousness, tracing AI's origins, and clarifying human cognition through AI. It examines early AI failures, fears of success, and the engineering of consciousness. The book also explores archaic AI representations, the intelligence of automatons, and the relevance of the Turing Test, concluding with strategies for achieving synthetic consciousness.These concepts are crucial for advancing AI towards synthetic consciousness. This book transitions readers from historical perspectives to modern AI challenges, blending theory with practical insights. It is an essential resource for understanding the future of AI and its potential to achieve consciousness.
Navigating the Stock Market. A Practical Guide for Buying, Selling, and AI Risk Management
Mercury Learning and Information, Arshad Khan
This book is perfect for investors, financial analysts, and portfolio managers. It simplifies stock market investing, offering strategies and practical advice for all levels. Key topics include research, buying and selling strategies, and using AI for risk management. The book equips you with essential knowledge and tools for successful stock investing.The course begins with planning, research, and screening, then moves to buying strategies and identifying winning characteristics. It covers company and sector analysis, selling techniques, stock prices, valuation, profitability, market behavior, and technical analysis. Advanced topics include monitoring the economy, market indicators, and avoiding investment mistakes.Understanding these concepts is crucial for informed investment decisions. The final chapters focus on risk management and leveraging AI in stock investing, addressing AI risks and mitigation strategies. This book guides readers from basic to advanced stock market concepts, blending theory with practical skills, making it essential for mastering stock investing.
Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools
Mercury Learning and Information, Oswald Campesato
This book bridges Python 3 programming and Generative AI, equipping readers with the skills to navigate both domains confidently. It starts with Python basics, covering data types, number formatting, text manipulation, loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words. You'll also learn about handling user input, managing exceptions, and working with command-line arguments.The journey continues into Generative AI, distinguishing it from Conversational AI. It introduces popular platforms and models, including Bard (now called Gemini) and its competitors, providing insights into their capabilities, strengths, weaknesses, and applications. The final chapters show how to generate various Python 3 code samples using Gemini.Understanding these concepts is crucial for modern programming and AI applications. This book transitions readers from basic Python programming to advanced AI techniques, blending theoretical knowledge with practical skills. Companion files with source code and figures enhance the learning experience, making this an essential resource for mastering Python 3 and Generative AI.
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.
Cybersecurity. A Self-Teaching Introduction
Mercury Learning and Information, C. P. Gupta, K. K. Goyal
This book provides fundamental concepts of cybersecurity and cybercrime in an easy-to-understand, self-teaching format. It covers data security, threats, viruses, malicious software, firewalls, VPNs, security architecture, design, policies, cyberlaw, and cloud security.The course starts with an introduction to information systems and cybersecurity application security. It progresses to developing secure information systems and understanding information security policies, standards, and cyberlaw. The final chapters address the security of emerging technologies, including cloud security, IoT, and AES.Understanding these concepts is crucial for protecting data and systems against cyber threats. This book transitions readers from basic knowledge to advanced cybersecurity practices, combining theoretical insights with practical applications. It is an invaluable resource for mastering cybersecurity in today's digital age.
Mercury Learning and Information, R. Anand
This book covers the fundamental concepts of digital signal processing (DSP), introducing discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, and statistical DSP. With applications ranging from engineering to telecommunications and medical imaging, this text focuses on representing signals with mathematical models and processing them using discrete-time systems.Understanding DSP is crucial for professionals in various fields as it allows for effective signal representation and manipulation. The book starts with an introduction to DSP and a review of discrete-time signals and systems, followed by a detailed exploration of the z-transform and frequency analysis using DTFT. It further delves into discrete Fourier transforms, fast Fourier transform algorithms, and the implementation of discrete-time systems.The journey continues with in-depth discussions on digital filters, including the design and analysis of infinite impulse response (IIR) and finite impulse response (FIR) filters. The book also covers statistical digital signal processing, multirate DSP, and applications in speech and radar. Through a variety of exercises and a comprehensive glossary, readers will gain a solid understanding of DSP fundamentals and applications.
Mercury Learning and Information, Oswald Campesato
As part of the best-selling *Pocket Primer* series, this book introduces readers to basic machine learning concepts and integrates them into Angular applications. It offers a fast-paced introduction to essential machine learning features and an overview of popular classifiers. Covering Angular functionality, basic machine learning concepts, and key classification algorithms, the book includes numerous code samples and figures. Topics such as TensorFlow and Keras are also explored.The book begins with a quick introduction to Angular, followed by UI controls, user input, and forms and services. As you progress, you will delve into machine learning, working with classifiers, and integrating TensorFlow.js with Angular. These foundational topics ensure a comprehensive grasp of both Angular and machine learning principles, equipping you with practical skills for developing sophisticated applications.Understanding these concepts is crucial for enhancing Angular projects with machine learning capabilities. This book transitions you from a novice to a proficient developer, equipped with the knowledge and tools needed to create advanced applications. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating machine learning with Angular.
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.
Blockchain, Bitcoin, and the Digital Economy. Unlocking the Future of Financial Technology
Mercury Learning and Information, Len Mei
This book provides a comprehensive introduction to blockchain technology, discussing its fundamentals, development issues, potential applications, security, and use in cryptocurrency. It also delves into fintech, its current status, and related concepts in the digital economy. The rapidly changing nature of these topics makes the book a valuable resource for anyone interested in blockchain and cryptocurrency. Numerous references offer up-to-date information on these subjects.The course begins with an overview of blockchain and its basic concepts, followed by an in-depth look at Bitcoin and its associated issues. The journey continues with consensus mechanisms, exploring altcoins, and mutual distributed ledgers. The book then shifts focus to applications of blockchain beyond cryptocurrency, highlighting industrial uses, payment systems, and lending. Governance, regulation, and future trends in blockchain technology are also covered.Understanding these concepts is crucial for navigating the evolving landscape of blockchain and cryptocurrency. This book ensures a smooth transition from novice to knowledgeable enthusiast, equipping readers with practical insights and comprehensive knowledge. By the end, readers will grasp blockchain technology's impact on various industries and its potential for future innovations.
Autodesk Revit 2025 Architecture. Mastering Revit Techniques for Efficient Architectural Design
Mercury Learning and Information, Munir Hamad
This book is a complete guide to mastering Autodesk Revit 2025, starting with the basics and progressively covering advanced architectural design techniques. It begins by introducing the Revit interface, navigation tools, and essential concepts like CAD vs. BIM, ensuring a solid foundation for beginners.Readers will then learn to create and modify architectural elements, such as walls, doors, windows, and roofs while exploring detailed workflows for project setup, annotation, and documentation. Each chapter includes hands-on exercises and practical examples to reinforce learning and improve proficiency with Revit’s powerful tools.The final sections delve into advanced topics like creating families, managing work sets, and using project phasing and design options. By the end of the book, readers will have gained the expertise to use Revit effectively in real-world architectural projects, making it an essential resource for both novice and experienced users.
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.
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.
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.
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.
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.
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.
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.
Computational Physics. A Comprehensive Guide to Numerical Methods in Physics
Mercury Learning and Information, Darren Walker
This updated edition introduces computational physics for performing experiments on the computer. It provides a grounding in scientific programming with examples in the context of physics problems. Using C++ as the primary language, it covers interpolation, integration, and solving differential equations, from simple concepts to advanced topics. The book includes a chapter on high-performance computing and parallel programming.Understanding computational physics is crucial for data manipulation and real-world simulations. The book starts with introductory topics and progresses to advanced material, including a C++ library and sample programs. Readers will learn problem-solving methods and constructing models.This journey equips readers with skills for scientific tasks, demonstrating efficient problem-solving and model construction. The practical approach ensures users can apply these concepts in real-world scenarios, making it an essential resource for those interested in computational physics.
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.
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.
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.