Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques

Mercury Learning and Information, Oswald Campesato

This book introduces the basic concepts of managing data using various computer languages and applications. It is designed as a fast-paced introduction to key features of data management, including statistical concepts, data-related techniques, Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. The companion files with source code and color figures enhance the learning experience.Understanding these concepts is crucial for anyone looking to manage data effectively. The book covers the fundamentals of probability and statistics, working with data using Pandas, managing databases with SQL and MySQL, and cleaning data using NLP techniques. It also delves into data visualization, providing practical insights and numerous code samples.The journey begins with an introduction to probability and statistics, moving on to working with data and Pandas. It then covers RDBMS and SQL, focusing on practical SQL and MySQL usage. The book concludes with NLP, data cleaning, and visualization techniques, equipping readers with a comprehensive understanding of data management.

Data Science Tools. Comprehensive Guide to Mastering Fundamental Data Science and Statistics Techniques

Mercury Learning and Information, Christopher Greco

This book introduces popular data science tools and guides readers on how to use them effectively. It covers data analysis using Microsoft Excel, KNIME, R, and OpenOffice, applying statistical concepts such as confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis with real data from Federal Government sources.The course begins with the basics, including importing data and conducting various statistical tests. It progresses to specific methods for each tool, ensuring a comprehensive understanding of data analysis. Capstone exercises provide hands-on experience, reinforcing the concepts learned throughout the book.Understanding these tools and concepts is crucial for effective data analysis. This book takes readers from the basics to advanced statistical methods, combining theoretical insights with practical applications. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data analysis with popular software applications.

Data Visualization for Business Decisions. Transforming Data into Actionable Insights

Mercury Learning and Information, Andres Fortino

This workbook is for business analysts aiming to enhance their skills in creating data visuals, presentations, and report illustrations to support business decisions. It focuses on developing visualization and analytical skills through qualitative labs. Readers will analyze and describe chart improvements instead of directly modifying them. The course covers eighteen elements across six dimensions: Story, Signs, Purpose, Perception, Method, and Charts.The journey starts with labs and a case study, introducing the analysis tool. It then delves into each dimension, guiding readers through exercises to enhance their understanding and skills. A comprehensive RAIKS survey assesses progress before and after using the text. The workbook concludes with a capstone exercise to review and analyze the final results of the two studied charts.These skills are crucial for effective data communication in business. This workbook transitions readers from basic to advanced visualization techniques, blending theoretical insights with practical skills. Companion files with videos, sample files, and slides enhance learning, making this workbook an essential resource for mastering business data visualization.

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.

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.

Autodesk(R) Revit(R) 2024 Architecture. Mastering Building Design with BIM

Mercury Learning and Information, Munir Hamad

This book covers all major techniques in Revit 2024 Architecture using both metric and imperial units. It details the myriad drawing and editing tools and includes over 50 mini-workshops that guide users from concept to plotting. By solving these workshops, readers will master Revit Architecture, covering all basic commands and functions. Companion files with templates and models are available for practical application.The course begins with an introduction to Revit 2024, followed by detailed chapters on drawing, modifying, project preparation, and wall construction. Subsequent chapters cover doors, windows, curtain walls, floors, roofs, components, and ceilings. Users will also learn about creating stairs, ramps, railings, views, annotations, legends, and visualization.Further, the book delves into schedules, project phasing, design options, topography, rooms, tagging, detailing, groups, file import/export, mass creation, and customizing elements. It concludes with chapters on creating and customizing families, and managing worksets and shared views, ensuring comprehensive knowledge and skills in Revit 2024 Architecture.

AI Horizons. Shaping a Better Future Through Responsible Innovation and Human Collaboration

Mercury Learning and Information, Enamul Haque

As artificial intelligence continues to reshape industries and societies, understanding its broader implications is crucial. AI Horizons offers an in-depth exploration of the ethical challenges and social consequences associated with AI, such as privacy, bias, and the digital divide. The book underscores the importance of transparency, fairness, and accountability, stressing the need for a responsible approach to AI development.The book further examines how AI is being adopted across various sectors, including healthcare, education, and finance, providing real-world case studies that highlight its transformative power. However, it also considers the unique challenges emerging markets face and the potential of AI to address critical global issues like poverty and climate change.AI Horizons advocates for a collaborative partnership between humans and AI, promoting human-centric design and governance frameworks to ensure that AI enhances human intelligence rather than replacing it. Through a balanced approach, the book calls for informed dialogue, public literacy in AI, and robust policies to guide AI's development responsibly and equitably.

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

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

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.

Pandas Basics. Mastering Data Analysis with Pandas

Mercury Learning and Information, Oswald Campesato

This book is essential for aspiring data scientists and anyone needing to perform data cleaning using Pandas and NumPy. It offers numerous code samples and comprehensive coverage of NumPy and Pandas features, including writing regular expressions. Chapter 3 introduces fundamental statistical concepts, while Chapter 7 delves into data visualization using Matplotlib and Seaborn. Companion files with code are available for download from the publisher.Starting with an introduction to Python, the course progresses through working with data, and then moves into Pandas, covering its functionalities in three detailed chapters. The statistical concepts provided are crucial for analyzing data effectively, while the visualization techniques enhance the ability to present data insights clearly.By the end of this course, users will have a solid foundation in data manipulation and cleaning, statistical analysis, and data visualization, enabling them to tackle real-world data science tasks confidently and efficiently.

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.

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.

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.

Python Data Structures Pocket Primer. A concise guide to Python data structures to enhance your skills

Mercury Learning and Information, Oswald Campesato

This Pocket Primer book introduces the fundamentals of data structures using Python. It provides a comprehensive yet fast-paced introduction to core Python concepts and data structures, emphasizing their importance in managing large datasets and implementing search and sort algorithms effectively. The course starts with a basic introduction to Python, setting a solid foundation for more complex topics.The journey continues with an exploration of recursion and combinatorics, followed by detailed discussions on strings, arrays, and various search and sort algorithms. Further, the book delves into linked lists, queues, and stacks, illustrating their practical applications with numerous code samples. This structured approach ensures that learners can progressively build their knowledge and skills in data structures, reinforced by hands-on coding examples.With companion files available for download, the book provides additional resources for practice and deeper understanding. This comprehensive guide is ideal for both beginners and those looking to strengthen their grasp of data structures in Python, equipping them with essential tools for managing and manipulating large datasets.

Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI

Mercury Learning and Information, Oswald Campesato

This book provides a comprehensive overview of large language models (LLMs) and generative AI, covering foundational principles, advanced concepts, and practical applications. It begins with an introduction to the generative AI landscape, examining key features, popular techniques, and its influence on industries like art, business, and technology. The book also explores prominent models like ChatGPT and GPT-4, detailing their architectures, capabilities, and applications in text generation, code assistance, and conversational AI.Additionally, the book traces the evolution of LLMs, particularly focusing on the BERT family and its wide-ranging applications in natural language processing, translation, and multilingual tasks. Readers will also gain expertise in prompt engineering, learning practical tips and examples to interact more effectively with LLMs.In later chapters, the book tackles advanced topics such as fine-tuning LLMs, working with SVG, and concepts like few-shot learning and reinforcement learning. It concludes with discussions on ethical issues, biases in generative AI, and emerging trends like AI’s integration with IoT, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI's present and future.