D'autres livres qui pourraient vous intéresser

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  Touchpad Play Ver 20 Class 2

  Team Orange

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  Computer Science Textbook | Windows 10 & MS Office 2016 
  
  KEY FEATURES 
  - National Education Policy 2020 
  - Tech Funda: This section provides a practical information or tip to the students. 
  - Clickipedia: This section provides interesting computer facts. 
  - Hands-On: This section contains an activity for the Home assignments. 
  - QR Code: Scan the QR Code given on the first page of each chapter to start chapter animation. 
  - Project Work: This is an assessment to challenge the students to apply the concepts learnt. 
  - Digital Resources 
  
  DESCRIPTION 
  In the modern era, we are dependent on technology for almost every aspect of our lives. Computers are a major part of this technology-assisted life, as we have now developed ways to do most of the essential tasks on a computer. Computer science is no longer limited to theories and lectures, it has now become an important part of our lives. 
  
  Touchpad PLAY (Version 2.0) series, based on Windows 10 and MS Office 2016, is designed carefully keeping in mind the overall growth of the children. The simple and step-by-step approach used in this book makes the content very easy to understand for the students. 
  
  
  The students will face a global competition once they step out of the school so they should be updated with the latest technologies which holds a promising future in the times to come. The best way to learn is, to do it through fun filled activities. To make content interesting through the course of the book, we have included key features like Student Corner, Tech Funda, Clickipedia, Comp Caution, Exercise, In The Lab (Subject Enrichment), Teacher’s Corner, Worksheet, Test Sheet, Project Work, Explore More, Keyboard Shortcuts and Glossary. 
  
  Sample questions of Orange Global Olympiad (Cyber) have been included to promote awareness about the national level competition. 
  
  These features will ensure better learning, assessment, evaluation and enable children to take their knowledge beyond the classroom. 
  
  
  We hope that the book enables the children to learn the concepts with not only the purpose of gaining knowledge but also to be able to find its applications. We look forward to any suggestions for improving the book. 
  
  WHAT WILL YOU LEARN 
  You will learn about: 
  - Fundamentals of computers 
  - ICT Tools 
  - Features of the Computer 
  - Parts and Uses of Computer 
  - Tux Paint 
  
  WHO THIS BOOK IS FOR 
  Grade 2 
  
  TABLE OF CONTENTS 
  1. Applications of a Computer 
  2. Operating a Computer 
  3. Working of a Computer 
  4. Keyboard and Mouse 
  5. Tools of Tux Paint 
  6. Fun with Paint 
  7. Working with Paint 3D 
  8. Blocks in ScratchJr 
  The AI Corner! 
  AI-Enabled Devices 
  Periodic Assessment 
  Test Sheet 2 
  Project Work 
  Explore More (Magical Mouse & Keyboard) 
  OGO Cyber Sample Questions 
  Glossary

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  Python for Data Analysis -...

  Brian Paul

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  In this book, we take you on a journey through the essential tools and techniques that Python offers for data analysis. Beginning with the fundamentals of Python programming, you'll swiftly progress to mastering the NumPy and Pandas libraries, building a solid foundation for manipulating and cleaning data. Dive into the world of Exploratory Data Analysis (EDA), learning how to visualize and interpret data patterns, and apply statistical techniques to draw meaningful conclusions. 
  As you advance, the book seamlessly transitions into the realm of machine learning, introducing Scikit-Learn for both supervised and unsupervised learning. Real-world projects and case studies bring the concepts to life, demonstrating how Python's versatility can be applied to predict trends, analyze financial data, and glean insights from social media platforms. 
  But this book goes beyond the basics. You'll explore advanced data manipulation techniques with Pandas, delve into big data with Apache Spark, and gain expertise in web scraping and API integration for collecting diverse data sources. Ethical considerations are not overlooked, emphasizing responsible data handling and addressing privacy and security concerns. 
  Best practices, tips for writing efficient code, and discussions on emerging trends ensure you stay ahead in the ever-evolving field of data analysis. 
  "Python for Data Analysis" is not just a book; it's your companion on the journey to becoming a proficient data analyst. With a blend of theory, hands-on exercises, and real-world applications, this guide empowers you to transform raw data into actionable insights. Get ready to unlock the true potential of your data with Python as your tool of choice. 
    
    
   

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  Lean Analytics - Transforming...

  James Stockwell

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  "Transforming Your Startup with Lean Analytics Strategies" is a comprehensive guide for startup founders and entrepreneurs who are looking to use data-driven decision making to achieve success. This book introduces readers to the Lean Analytics framework, which is based on the Lean Startup methodology, and explains how it can be used to identify key performance indicators (KPIs), collect and analyze data, and make data-driven decisions that drive business growth. 
  Through a step-by-step approach, the book provides practical advice on defining business goals, collecting and analyzing data, optimizing business processes, and scaling a startup using Lean Analytics. It also highlights the importance of creating a culture of data-driven decision making within the organization, and includes real-world case studies of successful implementation of Lean Analytics. 
  This book is written in an accessible and engaging style, with clear explanations and practical examples that are relevant to startups of all sizes and industries. Whether you're a first-time entrepreneur or an experienced founder, "Transforming Your Startup with Lean Analytics Strategies" will equip you with the knowledge and tools to drive business success through data-driven decision making. 
   

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  Why Ecosystems Matter -...

  Christopher Wills

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  Every one of Earth's teeming ecosystems is an evolutionary cauldron 
   
   
   
  Christopher Wills's claim has its roots in an insight from Charles Darwin: the interactions between species in an ecosystem are a powerful driver of evolution. In this book Wills describes how, by using the latest genetic techniques, we are probing ecosystems and discovering that even the most apparently barren of them are rich in variety, especially of microbes. Exploring the many ways in which ecosystems have coped with past change, and how rapidly an ecosystem can develop complexity, Wills illuminates a pathway of hope for the natural world that we have so damaged and depleted. Our new genetic knowledge can help these evolutionary cauldrons to continue brewing richness and diversity, the better to heal our living world and to enable our own survival.

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  Quantum Miracles : Faith...

  Ecnal Ver

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  Quantum Miracles: Faith, Consciousness & The Quantum Field 
  The Nature of Miracles 
  What if miracles are not rare or random, but part of how the universe really works? This audiobook explores the meeting place of faith, science, and human potential. Miracles are presented not only as acts of divine power, but also as the result of human consciousness interacting with the hidden fabric of reality known as the quantum field. 
  Ancient Wisdom and Modern Science 
  From stories of healing and transformation to the discoveries of quantum physics, listeners learn how prayer, intention, and belief may shape outcomes in daily life. The quantum field connects everything, and experiments suggest that observation and thought can influence it. This opens the door to understanding miracles as natural events that come from the link between mind, spirit, and matter. 
  Quantum Principles in Action 
  Wave and particle behavior, superposition, and entanglement are explained in simple terms. These principles connect to healing, synchronicity, and faith. The observer effect suggests that consciousness plays an active role in shaping the world around us, making miracles more understandable. 
  Practical Applications 
  Through stories and examples, Quantum Miracles shows how focused thought, prayer, and faith can create real change. Healing of the body, renewal of relationships, and meaningful coincidences are seen as natural results of the interaction between spirit and science. 
  An Invitation to Believe 
  This audiobook encourages listeners to see themselves not as passive witnesses, but as participants in the miracle-making process. Clear and uplifting, it invites seekers, skeptics, and believers to open their minds and hearts to the possibility that miracles are within reach, waiting to be embraced in everyday life.

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  Interpretability and...

  Aruna Chakkirala

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  Demystify AI Decisions and Master Interpretability and Explainability Today
  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.
  Table of Contents
  1. Interpreting Interpretable Machine Learning
  2. Model Types and Interpretability Techniques
  3. Interpretability Taxonomy and Techniques
  4. Feature Effects Analysis with Plots
  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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