Bücher veröffentlicht von Mercury Learning and Information

This book is designed for data scientists, machine learning practitioners, and anyone with a foundational understanding of Python 3.x. In the evolving field of data science, the ability to manipulate and understand datasets is crucial. The book offers content for mastering these skills using Python 3. The book provides a fast-paced introduction to a wealth of feature engineering concepts, equipping readers with the knowledge needed to transform raw data into meaningful information. Inside, you'll find a detailed exploration of various types of data, methodologies for outlier detection using Scikit-Learn, strategies for robust data cleaning, and the intricacies of data wrangling. The book further explores feature selection, detailing methods for handling imbalanced datasets, and gives a practical overview of feature engineering, including scaling and extraction techniques necessary for different machine learning algorithms. It concludes with a treatment of dimensionality reduction, where you'll navigate through complex concepts like PCA and various reduction techniques, with an emphasis on the powerful Scikit-Learn framework.

This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques.

Java Basics Using ChatGPT/GPT-4 is a book designed for individuals with limited exposure to Java programming and an interest in data structures. The book explores the fusion of Java programming with the power of ChatGPT, a language model capable of generating Java code rapidly. It offers a dynamic learning experience that combines traditional hand-crafted Java code with ChatGPT-generated code.

This book invites readers to explore the intricate world where AI, consciousness, and human cognition intersect. This groundbreaking book considers the profound differences between man and machine, challenging existing notions in AI and cognitive science. It argues that the key to understanding intelligence lies not in software, but in the hardware of our brain - a complex biochemical system far removed from current AI architectures. Through a deep examination of time, perception, language, and the nature of thought, the book presents a compelling case for the indispensability of biology and consciousness in cognition. To achieve this, to engineer this, will indeed be a challenge for AI.

This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the "Code Interpreter" plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently.

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UX Lifecycle: The Business Guide to Implementing Great Software User Experiences This book is for organisations starting their UX journey. It will help to address the basics such as defining what UX is; the importance of research; how UX is a process and not a job title; and where business value comes from improving efficiency, effectiveness, and satisfaction. There is practical guidance for building a business case and identifying the key investments required in people and process that will bring about the change needed to deliver success. Implementing UX is brought to life through the UX Lifecycle, a methodology framework that was born out of real-life successes. At the heart of the UX process is the most important stakeholder - the user!

This book provides guidance on how organizations can respond effectively to a rapidly converging collection of advanced technologies, methods, and models often referred to as "the metaverse." The arrival of the metaverse will likely lead to one of the most disruptive eras in modern history. We will see our personal, social, professional, and business lives change just as dramatically as we experienced with the arrival of the personal computer, Internet, and smart phone. The book also discusses some of the most important metaverse technologies, concepts, and methods which are needed by organizational leaders to understand as they begin to map out their metaverse transformation plans. These discussions are followed by detailed chapters on the main elements of an effective enterprise transformation initiative, concluding with a detailed hypothetical case study that describes how such a transformation can be accomplished. The central purpose of the book is to help executives and other professionals in charting an effective course to the metaverse.

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.

Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shi

Designed for students, faculty, and professionals, this book describes the role of mathematics in the world of economics and business. Beginning with the fundamental nature of numbers and progressing into more complex realms like hyperreal numbers and the intricacies of set theory, this book constructs a strong foundational understanding of mathema

In the digital age, data is the new currency. However, amassing heaps of data means nothing if it doesn't lead to actionable insights. It's not enough to just present numbers; to truly resonate with an audience, data needs a narrative. "Data Storytelling and Translation" bridges the chasm between numbers and narratives. Learn the intricacies of translating raw data into compelling stories that captivate, inform, and inspire action. The book covers proven frameworks for converting data into compelling narratives, strategies to tailor data stories to different audiences, techniques to avoid common pitfalls and biases in data representation, the balance between aesthetics and accuracy in data visualization, and uses real-world case studies illustrating the power of effective data storytelling. Whether you're a data scientist, business analyst, student or a decision-maker, this book offers the tools to articulate the true value of your data.

This book provides over 1200 review questions, explanations, and answers for all types of engineering mathematics exams and reviews. It covers all the aspects of engineering topics from linear algebra and calculus to differential equations, complex analysis, statistics, graph theory, and more. FEATURES: Includes over 1200 review questions with a

This book provides relevant information about intermediate Python 3.x for a variety of topics, such as comprehensions, iterators, generators, regular expressions, OOP, queues and stacks, and recursion. Each chapter contains an assortment of code samples that illustrate the topics in the chapter material. It assumes the reader is already familiar with Python programming and wants to expand programming skills in order to use Python in a variety of subject areas and disciplines such as business, mathematics, science, and engineering. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and object-oriented programming. This book includes companion files with numerous code samples, figures, and applications from the text.

Tensor analysis is used in engineering and science fields. Calculations of physical quantities in different systems of coordinates and transformations are required in scientific computations. This requires the use of mathematical concepts and application software. This book is designed to provide the necessary definitions, formulations, and procedures for tensor analysis and transformations to help engineers and scientists to perform their calculations in arbitrary coordinates systems.Features:* Application of AR (augmented reality) to enhance static figures* Easy to understand mathematical concepts through numerous figures, solved examples, and exercises* List of gradient-like operators for major systems of coordinates* Companion disc with applications

The goal of this book is to introduce readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks. The code samples and scripts use the bash shell, and typically involve very small text files so that you can focus on understanding the features of grep, sed, and awk. In the simplest terms, grep (global regular expression print) will search input files in data for certain words or word patterns and print the lines that match it. sed is useful for changing or modifying data. Awk is a programming language also used for searching a data file for certain patterns, but can also perform certain tasks on the pattern matches it finds. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with these command line utilities. Designed for readers relatively new to working in a bash environment Introduces readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks

This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces

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