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IntelliJ IDEA Workflow and Productivity Guide: Definitive Reference for Developers and Engineers by Richard Johnson
English | 2025 | ASIN: B0FCM6LDVN | 272 pages | True EPUB | 3.1 MB
The "IntelliJ IDEA Workflow and Productivity Guide" is an indispensable companion for developers seeking to master every facet of JetBrains' flagship IDE. Meticulously organized into thematic chapters, the book begins with the fundamentals-tailoring your development environment for performance, synchronizing settings across devices, and optimizing workspace management for complex, multi-module projects. It provides advanced techniques for UI customization, keyboard shortcuts, and command palettes, ensuring your workspace is not only functional but also finely tuned to your personal workflow.
Delving deeper, the guide navigates complex topics such as enterprise-level build automation with Maven and Gradle, intelligent dependency management, and robust project migration strategies. The comprehensive exploration of editing, navigation, and refactoring best practices is augmented by chapters on code inspection, automated testing, and debugging-including memory profiling, mutation testing, and remote development scenarios. Whether you're implementing large-scale refactorings, enforcing code quality with automated linters, or managing sophisticated test suites, this book arms you with practical workflows to boost your effectiveness and project quality.
Beyond the fundamentals, this guide illustrates how to leverage IntelliJ's extensibility-covering plugin development, macro automation, advanced API integration, and deep VCS support for Git, Mercurial, and SVN. Rich with strategies for integrating CI/CD pipelines, containerized development, and infrastructure automation tools, it concludes by addressing productivity analytics, AI-assisted coding, and continuous learning for enduring professional growth. The "IntelliJ IDEA Workflow and Productivity Guide" is an essential resource for developers, team leads, and power users determined to unlock the full potential of IntelliJ IDEA.
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Diheng Xu, "Interactions Between Chinese Tax Incentives and WTO's Subsidy Rules Against the Background of EU State Aid"
English | ISBN: 981991163X | 2023 | 272 pages | EPUB | 1367 KB
The book provides insights to the alleviation of tensions between Chinese tax incentives and the WTO's subsidy rules, thus further offering implications for both China and the WTO on integrating in the world economy. Moreover, doing a comparative study with EU State aid law can also provide China with a source of inspiration for reviewing its legal mechanism in respect of tax incentives and the WTO for rethinking its subsidy rules with regard to achieving its objectives and purposes. Academics and students in related subject will be interested to read the book. Practitioners doing business related to China, EU and international trade can be very interested in this book. Policymakers in both China and EU can also get valuable knowledge and inspiration from the book.
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Interactive Student Centered Learning : A Cooperative Approach to Learning By Edward Spooner
2015 | 159 Pages | ISBN: 1475813473 | EPUB | 1 MB
Interactive Student Centered Learning: A Cooperative Approach to Learning concentrates on Student Centered Learning (SCL) which encompasses Active Learning (AL), Cooperative Learning (COL), Collaborative Learning (COLL), and occasionally Constructivism Learning (CONS) teaching methodologies. This book delves into a review of the theories of learning, providing insight into current research regarding how students learn as well as a review of traditional, teacher-centered learning and teaching theories. This book also includes three interactive student centered learning segments; a review of the process, an instructional development process, and an organizational curriculum for educators to utilize an (I/SCL) program. The handbook in the appendices provides teachers with knowledge and information on how to develop an (ISCL) curriculum for teaching students effectively in almost all subjects at the secondary and college level.
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Didi Herman, "Interdisciplinarities: Research Process, Method, and the Body of Law "
English | ISBN: 3030892964 | 2022 | 148 pages | EPUB | 1376 KB
This book illuminates methodology in legal research by bringing together interdisciplinary scholars, who employ a diverse set of methodologies, to address a specific shared research challenge: 'the body'. The contributors were asked a question: if you were invited to contribute to an edited book on 'the body', where would you start and then where would you go? The result is a self-reflective discussion of how and where researchers engage with methodological practices. The contributors draw on their own interdisciplinary research experiences to explore how 'the body' might be addressed in their work, and the resources they would deploy in order to carry out the task. This 'book within a book' is innovative in both content and format. It provides a rare insight into how top interdisciplinary legal scholars go about making decisions about their research. The shared device of 'the body' allows the volume to trace a number of rich approaches into the
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Areej ElSayary, "Interdisciplinary Approaches for Educators' and Learners' Well-being: Transforming Education for Sustainable Development"
English | ISBN: 3031652142 | 2024 | 280 pages | EPUB | 2 MB
This book bridges knowledge gaps by exploring transformative approaches for sustainable development to ensure high-quality and positive education and increase educators' and learners' well-being. It offers research findings, best practices, case studies and empirical research.
The work inspires and guides educators in implementing effective strategies by means of interdisciplinary approaches. It is a valuable resource supporting ongoing professional development for teachers and educational leaders, enhancing pedagogical strategies, curriculum design and a safe positive educational environment. Additionally, it addresses global challenges in education, fostering a broader discourse on education's role in promoting interdisciplinary approaches, sustainable development, and well-being for a more inclusive future.
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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023): Advanced Intelligent Systems on Digital Health Technology, Volume 1
by Mostafa Ezziyyani, Janusz Kacprzyk
English | 2024 | ISBN: 3031523873 | 490 Pages | True PDF | 44 MB
This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco.
This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements.
Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare.
Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.
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International Encyclopedia of Statistical Science
English | 2025 | ISBN: 3662693585 | 2973 Pages | PDF EPUB (True) | 186 MB
The International Encyclopedia of Statistical Science stands as a monumental effort to enrich statistics education globally, particularly in regions facing educational challenges. By amalgamating the expertise of over 700 authors from 110 countries, including Nobel Laureates and presidents of statistical societies, it offers an unparalleled resource for readers worldwide. This encyclopedia is not just a collection of entries; it is a concerted effort to revive statistics as a vibrant, critical field of study and application. Providing a comprehensive and accessible account of statistical terms, methods, and applications, it enables readers to gain a quick insight into the subject, regardless of their background. This work serves to refresh and expand the knowledge of researchers, managers, and practitioners, highlighting the relevance and applicability of statistics across various fields, from economics and business to healthcare and public policy. Furthermore, it aims to inspire students by demonstrating the significance of statistics in solving real-world problems, thus encouraging a new generation to explore and contribute to the field.
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International Encyclopedia of Statistical Science, 2nd Edition
English | 2025 | ISBN: 3662693585 | 4137 pages | PDF | 80.59 MB
The International Encyclopedia of Statistical Science stands as a monumental effort to enrich statistics education globally, particularly in regions facing educational challenges. By amalgamating the expertise of over 700 authors from 110 countries, including Nobel Laureates and presidents of statistical societies, it offers an unparalleled resource for readers worldwide. This encyclopedia is not just a collection of entries; it is a concerted effort to revive statistics as a vibrant, critical field of study and application. Providing a comprehensive and accessible account of statistical terms, methods, and applications, it enables readers to gain a quick insight into the subject, regardless of their background. This work serves to refresh and expand the knowledge of researchers, managers, and practitioners, highlighting the relevance and applicability of statistics across various fields, from economics and business to healthcare and public policy. Furthermore, it aims to inspire students by demonstrating the significance of statistics in solving real-world problems, thus encouraging a new generation to explore and contribute to the field.
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International Handbook of Emotions: Resourceful Cultural Perspectives, Vol. 1
English | 2025 | ISBN: 3031864484 | 288 Pages | EPUB (True) | 6 MB
This two-volume handbook reimagines the role of emotions, offering transformative insights into their significance for individuals, communities, and societies. Volume 1 combines rigorous theoretical exploration, personal narratives, and cutting-edge research to explore the intricate connections between emotions, human development, and positive psychology.
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International Handbook of Emotions: Resourceful Cultural Perspectives, Vol. 1
by Claude-Hélène Mayer, Elisabeth Vanderheiden
English | 2025 | ISBN: 3031864484 | 279 Pages | True PDF | 15.3 MB
This two-volume handbook reimagines the role of emotions, offering transformative insights into their significance for individuals, communities, and societies. Volume 1 combines rigorous theoretical exploration, personal narratives, and cutting-edge research to explore the intricate connections between emotions, human development, and positive psychology.
Far beyond the confines of emotional well-being, this volume examines the transformative power of emotions in shaping identities and driving personal and collective growth. Through its comprehensive approach, it paints a vivid picture of the human emotional experience while navigating diverse cultural contexts and intergenerational dynamics.
This work challenges conventional approaches by integrating perspectives from various cultural backgrounds and cross-cultural experiences, offering readers a deeper understanding of how emotions influence relationships, decision-making, and societal change. It is an indispensable resource for psychologists, researchers, educators, and practitioners aiming to expand their knowledge of emotions in a global context and apply innovative frameworks in their work.
Through its synthesis of theory and practice, the handbook invites readers to rethink the emotional dimensions of human experience. It encourages the exploration of new paradigms that highlight the transformative potential of emotions and their ability to shape inclusive and emotionally intelligent communities.
This volume is more than a collection of knowledge-it is a call to action for those who seek to understand and harness the transformative potential of emotions. Whether exploring the role of emotions in culturally diverse and transcultural understanding or their impact on personal growth, this handbook opens new pathways for academic inquiry and practical application, redefining how we perceive and engage with the emotional fabric of our world.
Emotion science has progressed enormously in the last decade. For those wishing to get insight into the depth and breadth of this progress, this is a terrific, edited 2 volume overview, brought together by two internationally recognised emotion researchers. It takes a biopsychosocial approach exploring the multiple dimensions of emotion science and how it can be applied to many different aspects of human life from therapy through to the organisation of communities. It will be a must have book for anyone interested in understanding the complexities of emotions.
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Internet De Las Cosas: Dispositivos. A medida que el Internet de las Cosas se expande, cada dispositivo se convierte en una pieza clave de un rompecabezas global. (Spanish Edition) by Alejandro Romero Pérez
Spanish | October 1, 2024 | ISBN: N/A | ASIN: B0DJDVD2RM | 258 pages | EPUB | 4.11 Mb
✧.* Conéctate al futuro con *"Internet de las Cosas: Dispositivos"* *ੈ✩‧₊˚
✔ ¿Te intriga cómo los dispositivos se comunican en el mundo digital? ✔ ¿Quieres entender cómo funciona la infraestructura que permite la conexión entre múltiples dispositivos?
Este libro es tu puerta de entrada al fascinante universo del Internet de las Cosas (IoT), explorando desde la teoría de redes hasta la práctica en el diseño de dispositivos inteligentes.
■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■
★ Internet Working Informático: Descubre los fundamentos de cómo funciona Internet y cómo se comunican numerosos hosts. Aprende sobre protocolos, pilas de protocolos y el direccionamiento de red que hace posible la conectividad.
★ Protocolos IoT: Profundiza en los protocolos específicos del IoT, entendiendo la diferencia entre intradominio e interdominio, y cómo la virtualización de redes optimiza la comunicación.
★ Dispositivos IoT: Adéntrate en el hardware del IoT. Desde el diseño de circuitos eléctricos hasta casos prácticos que muestran cómo funcionan los dispositivos que iluminan, utilizan electricidad, se mueven y observan. Aprenderás a diseñar y construir circuitos útiles que dan vida a tus ideas.
★ Arquitectura de Dispositivos IoT: Explora la arquitectura detrás de los dispositivos IoT, los circuitos integrados y la codificación de datos. Conoce los desafíos y enfoques en la programación y en la implementación de microcontroladores.
★ Aplicaciones Prácticas: Con ejemplos reales, entenderás cómo aplicar los conceptos teóricos en la práctica, desarrollando dispositivos que mejoran nuestra vida cotidiana y nos conectan de maneras innovadoras.
●・○・●・○・●・○・●・○・●・○・●・○・●・○・●・○・●
Explora temas clave como:
◉ El diseño y la implementación de circuitos para dispositivos IoT.
◉ La importancia de los protocolos en la comunicación entre dispositivos.
◉ La arquitectura de hardware que permite la funcionalidad del IoT.
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Internet of Things for Beginners
English | 2024 | ISBN: 2940179913085 | Pages: 160 | EPUB (True) | 586.79 KB
"Internet of Things for Beginners: A Step-by-Step Guide to Understanding, Building, and Exploring Connected Systems"
is your gateway to the fascinating world of IoT. Whether you're a tech enthusiast, a student, or a professional looking to expand your skills, this comprehensive guide will walk you through the fundamentals of IoT in an easy-to-understand manner.
Starting with the basics, this book demystifies the complex ecosystem of IoT, explaining how everyday objects can be transformed into smart, connected devices that collect, share, and act on data. You'll explore the essential components of IoT systems, including sensors, microcontrollers, connectivity protocols, and cloud computing.
With hands-on projects and real-world examples, you'll gain practical experience in building your own IoT devices, from a smart home lighting system to a health monitoring wearable. Along the way, you'll learn about the latest tools, platforms, and best practices for developing and deploying scalable IoT solutions.
Dive into topics like IoT security, data analytics, and the future of connected technology, all while building a solid foundation that will empower you to take on more advanced IoT projects. By the end of this book, you'll have the knowledge and confidence to start creating innovative IoT solutions that can improve lives, enhance industries, and shape the future.
"Internet of Things for Beginners" is the perfect guide to help you navigate the exciting world of connected systems.
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Interpretability and Explainability in AI Using Python
English | 2025 | ISBN: 9789348107749 | 532 pages | PDF | 20.69 MB
Demystify AI Decisions and Master Interpretability and Explainability Today
Key Features
● Step-by-step framework for building competitive, market-driven products.
● Practical guidance on strategy, pricing, user experience, and agility.
● Proven techniques to handle competition, compliance, and intellectual property.
Book Description
Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust.
Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models.
You'll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you'll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals-powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems.
Through hands-on Python examples, you'll learn how to apply these techniques in real-world scenarios. By the end, you'll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards-giving you a competitive edge in the evolving AI landscape.
What you will learn
● Dissect key factors influencing model interpretability and its different types.
● Apply post-hoc and inherent techniques to enhance AI transparency.
● Build explainable AI (XAI) solutions using Python frameworks for different models.
● Implement explainability methods for deep learning at global and local levels.
● Explore cutting-edge research on transparency in transformers and LLMs.
● Learn the role of XAI in Responsible AI, including key tools and methods.
Who is this book for?
This book is tailored for Machine Learning Engineers, AI Engineers, and Data Scientists working on AI applications. It also serves as a valuable resource for professionals and students in AI-related fields looking to enhance their expertise in model interpretability and explainability techniques.
Table of Contents
1. Interpreting Interpretable Machine Learning
2. Model Types and Interpretability Techniques
3. Interpretability Taxonomy and Techniques
4. Feature Effects Analysis with Descriptions
5. Post-Hoc Methods
6. Anchors and Counterfactuals
7. Interpretability in Neural Networks
8. Explainable Neural Networks
9. Explainability in Transformers and Large Language Models
10. Explainability and Responsible AI
Index
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Interview Speak (MEAP V02)
English | 2025 | ISBN: 9781633436220 | 314 pages | PDF,EPUB | 7.95 MB
Discover how to decipher the most important job interview questions so you can tell your interviewer what they really want to know.
Have you ever left a job interview thinking you really nailed it, only to hear nothing back except a short, polite rejection? Didn't you say all the right things? Here's the truth: probably not! Interview Speak shows you how to ace job interviews by answering the questions behind the questions.
In Interview Speak you'll learn how to:
Break down questions from the interviewer's point of view
Anticipate potential questions from a job description
Develop authentic answers that make you stand out
Navigate different interview stages
Recognize and respond to different types of interview questions
Job recruiters, screeners, and interviewers speak their own language. In Interview Speak, experienced interview coaches and employment consultants Barbara Limmer and Laura Browne want to help you answer the questions they're really asking! In this practical book, Laura and Barbara break down dozens of common questions with realistic examples you can use to model your own responses. Written for job seekers in any field, Interview Speak shows you how to draw on your own unique skillset and deliver answers that will make you stand out.
about the book
Interview Speak translates the most common, important, and difficult interview questions, and then guides you step-by-step through giving authentic answers that are maximally effective. In it, Barbara and Laura decode dozens of sample answers and full interview transcripts-including a few clueless responses that may seem all too familiar. You'll learn to appear confident and qualified as you turn your good answers into great ones. You'll especially appreciate how the authors visually analyze interview questions to reveal the hidden meanings behind them.
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Into the Black: The electrifying true story of how the first flight of the Space Shuttle nearly ended in disaster
English | 2016 | ASIN: B00O30HFJC | 543 pages | True EPUB | 42.1 MB
On 12th April 1981 a revolutionary new spacecraft blasted off from Florida on her maiden flight. NASA's Space Shuttle Columbia was the most advanced flying machine ever built - the high watermark of post-war aviation development. A direct descendant of the record-breaking X-planes the likes of which Chuck Yeager had tested in the skies over the Mojave Desert, Columbia was a winged rocket plane, the size of an airliner, capable of flying to space and back before being made ready to fly again. She was the world's first real spaceship.
On board were men with the Right Stuff. The Shuttle's Commander, moonwalker John Young, was already a veteran of five spaceflights. Alongside him, Pilot Bob Crippen was making his first, but Crip, taken in by the space agency after the cancellation of a top secret military space station programme in 1969, had worked on the Shuttle's development for a decade. Never before had a crew been so well prepared for their mission.
Yet less than an hour after Young and Crippen's spectacular departure from the Cape it was clear that all was not well. Tiles designed to protect Columbia from the blowtorch burn of re-entry were missing from the heatshield. If the damage to their ship was too great the astronauts would be unable to return safely to earth. But neither they nor mission control possessed any way of knowing.
Instead, NASA turned to the National Reconnaissance Office, a spy agency hidden deep inside the Pentagon whose very existence was classified. To help, the NRO would attempt something that had never been done before. Success would require skill, pinpoint timing and luck ...
Drawing on brand new interviews with astronauts and engineers, archive material and newly declassified documents, Rowland White, bestselling author of Vulcan 607, has pieced together the dramatic untold story of the mission for the first time. Into the Black is a thrilling race against time; a gripping high stakes cold-war story, and a celebration of a beyond the state-of-the-art machine that, hailed as one of the seven new wonders of the world, rekindled our passion for spaceflight.
*With a foreword by Astronaut Richard Truly*
'Beautifully researched and written, Into the Black tells the true, complete story of the Space Shuttle better than it's ever been told before.'
Colonel Chris Hadfield, former Astronaut and Space Station Commander
'Brilliantly revealed, Into the Black is the finely tuned true story of the first flight of the Space Shuttle Columbia. Rowland White has magnificently laid bare the unknown dangers and unseen hazards of that first mission ... Once read, not forgotten.'
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Introduction to AI and Machine Learning (AI E-Learning)
English | 2025 | ISBN: B0DYYWQRV8 | Pages: 66 | EPUB (True) | 1.24 MB
Discover the fascinating world of Artificial Intelligence and Machine Learning with Introduction to AI and Machine Learning-a comprehensive guide that opens the door to the future of technology. Whether you're a curious beginner or a professional looking to update your skills, this book provides an engaging, hands-on introduction to the revolutionary fields of AI, machine learning, deep learning, and neural networks. In today's fast-paced digital era, understanding the foundations of AI and ML is more critical than ever. This book breaks down complex concepts into easily digestible chapters, making it the perfect starting point for anyone eager to explore topics such as supervised learning, unsupervised learning, reinforcement learning, and natural language processing. With clear explanations, step-by-step tutorials, and real-world examples, you'll learn how algorithms drive everything from computer vision and speech recognition to personalized recommendations and self-driving cars. Inside, you'll embark on a journey that begins with the fundamentals of artificial intelligence, exploring the history and evolution of machine learning. You'll discover how data science, big data, and advanced algorithms come together to create powerful systems that learn from data and continuously improve over time. Detailed discussions on neural networks and deep learning will guide you through the intricacies of designing and training models, while practical examples ensure you can apply these techniques to real-world problems. One of the book's standout features is its focus on practical applications and case studies. Whether you're interested in healthcare diagnostics, financial forecasting, or autonomous vehicles, you'll find inspiring examples of how AI and machine learning are transforming industries. Each chapter is designed to build your skills gradually, from the basics of data preprocessing and feature engineering to the challenges of model evaluation and optimization. You'll gain valuable insights into best practices for deploying AI systems in production environments, ensuring that your newly acquired skills translate into tangible results. Ethical considerations and the social impact of AI are also given due attention. In an age where algorithmic bias, data privacy, and transparency are more critical than ever, this book provides a balanced view on the responsibilities that come with harnessing AI technology. Learn about fairness, accountability, and the emerging standards that are shaping the future of ethical AI development. Packed with essential keywords such as artificial intelligence, machine learning, deep learning, neural networks, natural language processing, computer vision, and algorithms, this book is not just a technical manual-it's a roadmap to understanding how modern technology works and evolves. Each section is enriched with clear diagrams, practical tips, and hands-on projects that empower you to explore and experiment on your own. Whether you're looking to enhance your career, start a new project, or simply understand the technology that is transforming our world, Introduction to AI and Machine Learning is your ultimate guide. Dive into this exciting field and unlock the potential of AI to drive innovation, efficiency, and positive change in every sector of modern life. Embrace the future of technology-your journey into the realm of AI and machine learning starts here!
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Introduction to Algorithms: A Comprehensive Guide for Beginners: Unlocking Computational Thinking
English | September 3, 2024 | ASIN: B0DG3WC2M2 | 267 pages | EPUB (True) | 7.28 MB
Unlock the world of algorithms and discover how to harness their power to solve complex problems with "Introduction to Algorithms: A Comprehensive Guide for Beginners". This immersive guide reveals the importance of algorithms and how they function in our daily digital lives.
Is this book for me?
Whether you are a beginner to computer science, a student delving into data analysis, a professional aiming to elevate their problem-solving skills, or simply a curious learner fascinated by logic and patterns, this book is for you. As it takes you on a journey through various types of algorithms, their applications, and how to implement them efficiently, it demystifies the often intimidating world of algorithmic thinking.
Our guide starts with the basics, gradually escalating complexity with each chapter. You'll first understand what algorithms are and why they are essential. As you progress, you will explore different types of algorithms, their strengths, weaknesses, and the contexts where they shine. With engaging real-world applications, this book demonstrates how these robust tools are utilized in diverse fields such as computer science, data analysis, artificial intelligence, and more.
A Comprehensive Guide
Each chapter in this comprehensive guide has been thoughtfully designed to make complex concepts accessible and engaging. Clear explanations, relatable examples, and practical problems make this book interactive and instructive, enhancing the learning process. You will learn computational thinking and delve into the analysis of algorithmic efficiency, equipping you with critical skills in today's technologically-driven world.
Inside this comprehensive guide, you will explore:
The Basics of Algorithms: Understand what algorithms are, why they are important, and how they play a role in our everyday lives.
Types of Algorithms: Delve into various categories of algorithms - from simple sorting and searching to complex algorithms employed in machine learning and artificial intelligence.
Algorithmic Efficiency: Learn how to measure the efficiency of algorithms, and why efficiency matters. Uncover concepts such as Big O notation, time complexity, and space complexity.
Real-World Applications: Discover practical applications of algorithms in various fields such as databases, network routing, and problem-solving in business scenarios.
Hands-On Problems & Solutions: Cement your understanding with practical problems at the end of each chapter, complete with detailed solutions.
Algorithmic Thinking: Cultivate a computational mindset to approach problem-solving more efficiently. Learn how to break down complex problems into manageable parts, devise step-by-step solutions, and analyze their efficiency.
This guide does not merely offer knowledge. It seeks to cultivate a mindset - a way of thinking that views problems as puzzles and algorithms as keys to solutions. As you navigate through the world of algorithms, you will evolve from a novice to a competent problem-solver, capable of tackling real-world challenges in your professional and academic journey.
Take Action
Embrace the opportunity to understand and master algorithms. Add "Introduction to Algorithms: A Comprehensive Guide for Beginners" to your cart now and embark on this enlightening journey to become an adept problem-solver. No prerequisite knowledge is required, just your curiosity and willingness to learn.
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Introduction to Artificial Intelligence And Machine Learning
English | 2025 | ISBN: 9798227015990 | Pages: 415 | EPUB (True) | 3.35 MB
The book
"Introduction to Artificial Intelligence & Machine Learning"
provides a comprehensive foundation for AI and ML concepts. It covers AI history, types, benefits, risks, and applications across various industries. The book explores machine learning, deep learning, neural networks, and practical AI problem-solving approaches. It also introduces Python programming, discussing variables, control statements, functions, and data structures essential for AI and ML development. With theoretical insights and practical examples, the book aims to equip students, researchers, and professionals with the knowledge needed to apply AI and ML techniques effectively in real-world scenarios.
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Introduction to Business Analytics
English | 2025 | ISBN: B0DXWNLZSB | Pages: 363 | EPUB (True) | 10.83 MB
"Introduction to Business Analytics" delves into the convergence of data and technology in our digitized world. We explore the significance of business analytics, a field that uses data, statistical analysis, and data mining to understand and improve business performance.
We examine how business analytics tools help predict business outcomes by visualizing trends and patterns through forecasting and predictive modeling. These tools are integral to business success, aiding companies in making data-driven decisions. In many contexts, data analysis is the first step in solving business problems, making it crucial for business students to grasp these concepts.
This book provides insights into the meaning, scope, tools, and methods of business analytics. We explore advanced business analytics tools used for data analysis and aim to be the primary resource for students, researchers, and anyone interested in the field. The first section covers the foundation of business analytics, including descriptive, predictive, and prescriptive analytics. With simple and easy-to-understand explanations, we cover both basic and advanced business analytics concepts.
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Introduction to Categorical Data Analysis (Easy Statistics)
English | 2021 | ASIN: B094TCDGQS | 66 pages | PDF | 3.24 MB
I present this book as the fifth book in Easy Statistics Series which covers essential topics on Categorical Data Analysis.This book gives you a simple and quick explanation about categorical data analysis.This book covers information on*Odd Ratio*Log linear models (two-way and three-way)*Logistic regression models (binary and multinomial)Examples are done using SPSSAny suggestions to further improve the contents of this edition would be warmly appreciated.
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