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  Trackpad Pro Ver 50 Class 6

  Nidhi Arora

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  Computer Science Textbook Designed for Joyful Learning 
  
  KEY FEATURES 
  - National Education Policy 2020 
  - Find on Google: This section asks a quick question from the present world. 
  - Pure Fact: This presents a 100% pure fact with a numerical data. 
  - Video Based Question: This is an interactive question to be attempted after watching a small video accessible on the QR Code. 
  - Coding Zone: This presents a quick insight into coding concepts. 
  - Career Here: This section indicates the possible career aspects on pursuing similar topics. 
  
  DESCRIPTION 
  Computers, owing to their extensive usefulness and versatility, continue to pave their path into every business, industry and research activity today. Be it entertainment, education, problem-solving, research and decision-making, or home and personal management, data banks, communication and message services, etc., they have become literally indispensable in our daily operations. This makes thorough education on the subject of computers essential across the world. 
  
  Trackpad PRO Version 5.0, a computer book series for grades I to VIII, is designed to build a strong foundation for students about to enter the fascinating world of computer technology. With Trackpad, the process of discovery is bound to be equally enjoyable and educational, as the series is written in a friendly and engaging style, which will spark the interest of students of all skill sets. 
  
  Based on Windows 11 and Microsoft Office 2021, this series has all that is required to ensure that the students understand and retain what they have read. 
  
  The books ensure up-to-date coverage of contemporary computer concepts and most widely used software packages. The series begin to explore the subject of Artificial Intelligence from grade III itself and each grade has four Periodic Assessments & two Test Sheets for evaluation of students’ learning. Grade I and II books have four-line writing space each to inculcate the love for writing and enhance writing skills in children. 
  
  I would like to gratefully acknowledge the support provided by my family and friends.I sincerely trust that this book will assist the students in their growth and learning. 
  
  Wish you a happy and fruitful learning! 
  
  WHAT WILL YOU LEARN 
  You will learn about: 
  - Critical Thinking 
  - Creativity 
  - Communication 
  - Collaboration, Information Literacy 
  - Leadership & Responsibility 
  - Social Interaction, Productivity & Accountability Social Interaction 
  
  WHO THIS BOOK IS FOR 
  Grade - 6 
  
  TABLE OF CONTENTS 
  1. Fundamentals of Computer 
  2. Formulas and Functions in Excel 2021 
  3. Charts in Excel 2021 
  4. Introduction to Adobe Animate 2021 
  5. More on Adobe Animate 2021 
  6. Learn HTML5 and CSS3 
  7. Formatting a Web Page 
  8. Internet Services 
  9. Algorithm, Flowchart and Mind Maps 
  10. Introduction to Python 
  11. Intelligence and AI Approaches 
  Techipedia (Microsoft Makecode Arcade) 
  Techipedia (Krita) 
  Project 
  OGO Cyber Sample Questions

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  Introduction to Machine Learning...

  Ben Rizer

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  In an era where data is generated at an unprecedented rate, organizations are faced with the challenge of not just managing vast amounts of information, but also extracting meaningful insights from it. "Introduction to Machine Learning for Big Data: Building Intelligent Systems to Transform Data into Knowledge" is a comprehensive guide designed to equip readers with the knowledge and skills necessary to harness the power of machine learning in the context of big data. 
  This book takes you on a journey through the foundational concepts of machine learning, tailored specifically for large-scale data environments. Readers will explore various types of machine learning algorithms, understand their applications, and learn how to implement these techniques to uncover hidden patterns and drive informed decision-making. 
  This book provides a clear roadmap for navigating the complexities of big data and machine learning. With a focus on building intelligent systems, it empowers readers to turn raw data into valuable knowledge, driving innovation and competitive advantage in their respective fields. Unlock the potential of your data today and embark on a transformative journey toward data-driven intelligence. 
   

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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  Life Lessons from a Parasite -...

  John Janovy Jr.

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  The answers to life's biggest questions can be found by looking at the little things . . . 
   
   
   
  Though you may not be able to see them with the naked eye, parasites—miniscule life forms that live inside other organisms—inhabit our everyday lives. From headlice to bird droppings, litterboxes to unfiltered water, you have brushed up against the most common way of life on our planet. 
   
   
   
  In this unique book, John Janovy Jr., one of the world's preeminent experts on parasites, reveals what can humans learn from the most reviled yet misunderstood animals on Earth: lice, tapeworms, flukes, and maggots that can eat a lizard from the inside, and how these lessons help us negotiate our own complicated world. Whether we're learning to adapt to adverse conditions, accept our own limitations, or process new information in an ever-changing landscape—we can be sure a parasite did it first. 
   
    
   
  At once peculiar and profound, Life Lessons from a Parasite makes a case for using knowledge of the natural world, with all its wonderful mysteries and quirks, to tackle our worst problems.

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  Bitcoin Blueprint - Unraveling...

  Harrison Stratton

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  Are you interested in learning more about the groundbreaking digital currency that has taken over worldwide? Look nowhere else! This comprehensive book, "Bitcoin Blueprint: Unraveling the Revolutionary Digital Currency," explores the fascinating world of Bitcoin. 
  Do you know how Bitcoin came to be such a well-known name? This book will take you on a fascinating journey through the development of money throughout time, culminating in the creation of Bitcoin by the enigmatic Satoshi Nakamoto. Explore the decentralization principle distinguishing the Bitcoin blockchain from conventional financial systems and learn its fundamental characteristics. 
  Do you desire for financial independence and self-control? Financial sovereignty is a concept that is examined in "Bitcoin Blueprint: Unraveling the Revolutionary Digital Currency," where you essentially become your own bank. Learn about the benefits of utilizing Bitcoin for international transactions and how it can work as an inflation hedge. Examine how Bitcoin affects established financial institutions and how it promotes financial inclusion.

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  Healing Grounds - Climate...

  Liz Carlisle

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  A powerful movement is happening in farming—farmers are reconnecting with their roots to fight climate change. 
   
   
   
  In Healing Grounds, Liz Carlisle tells the stories of Indigenous, Black, Latinx, and Asian American farmers who are reviving their ancestors' methods of growing food—techniques long suppressed by the industrial food system. These farmers are restoring native prairies, nurturing beneficial fungi, and enriching soil health. While feeding their communities and revitalizing cultural ties to land, they are steadily stitching ecosystems back together and repairing the natural carbon cycle. This is the true regenerative agriculture—not merely a set of technical tricks for storing CO2 in the ground, but a holistic approach that values diversity in both plants and people. 
   
   
    
  Cultivating this kind of regenerative farming will require reckoning with our nation's agricultural history—a history marked by discrimination and displacement. And it will ultimately require dismantling power structures that have blocked many farmers of color from owning land or building wealth. 
   
   
   
  By coming together to restore these farmlands, we can not only heal our planet, we can heal our communities.

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