Otros libros que te pueden interesar

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  Touchpad Plus Ver 40 Class 7

  Nidhi Gupta

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  Computer Science Textbook with New Pedagogical Approaches 
  
  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. 
  - Lab Session: This is a lab activity to develop practical skills. (Subject Enrichment) 
  - Explore More: This section contains supplement topics for add-on knowledge. 
  - QR Code: Scan the QR Code given on the first page of each chapter to start chapter animation. 
  - Mind Boggler: This section has puzzle or fun based activity to help understand the concepts better. 
  
  DESCRIPTION 
  Computer technology has become essential and an integral part of life at work, in recreation, social networking and education too. With the constant development of new technology, it has become more significant in helping and preparing students for jobs. Computers have revolutionised the way education is imparted to children. 
  
  Touchpad Plus Version 4.0 is a complete computer science curriculum solution for grades 1-8. It is based on Windows 10 and MS Office 2019, with new and future-ready content. Fun is the most important element of learning. Keeping in mind the concept of Joyful Learning, varied activities have been designed based on multiple intelligences and 21st century skills for holistic development. 
  
  The books have a conversational style introduction of each chapter to make learning fun and engaging. The topics and their approaches are integrated in different themes as per ICT learning. Grade I and II books have four-line writing space to enhance writing skills in children. Each book is accompanied by digital learning resources that offer interesting animation and interactive tests for the student to supplement classroom learning with independent learning. 
  
  The books are curated in a way that they make students and teachers equal partners in the learning process and take learning beyond classroom. We welcome and look forward to all meaningful and valuable suggestions for improving the book 
  
  WHAT WILL YOU LEARN 
  You will learn about: 
  - Digital World 
  - Cyber World 
  - Coding World 
  - Computational Thinking 
  - Artificial Intelligence 
  
  WHO THIS BOOK IS FOR 
  Grade 7 
  
  TABLE OF CONTENTS 
  1. Number System 
  2. Advanced Features of Excel 
  3. Layers in Krita 
  4. Animations in Krita 
  5. Google Apps 
  6. App Development 
  7. More on HTML5 
  8. Lists and Tables in HTML5 
  9. Algorithmic Intelligence 
  10. Conditional Statements in Python 
  11. Concept of Smart Living 
  ADD-ONS 
  ASSESSMENTS

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  Advanced Scrum Case Studies Vol...

  Frederik Mark Fowler

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  You are a Scrum Master and you have a challenge: 
  You have been hired to "fix" a poorly performing software development team.  When you join the group you find that it is dominated by a very capable by a strong willed woman that the team calls "Bossy Bobbie".  She makes every decision and assigns tasks to all of the other developers.  She follows them up and takes over their tasks if they fall behind.  No one is happy about the situation, but no one seems willing to do anything about it.   
  Now the problem has fallen into your lap.  What do you do about it? 
  This case and the others in the series come from the real-world experiences of a group of Scrum professionals who meet regularly to discuss the Scrum Framework and how to apply it to actual situations they have encountered.  These discussions have been led since 2015 by Frederik Mark Fowler, A Doctor of Scrum and Holder of the Professional Scrum Master level III certification awarded by Scrum.org.  Fred has worked with the Scrum Framework for almost 20 years and has trained more then 300 people to become Scrum Masters and Product Owners.  For more information, visit www.Patreon.com/SiliconValleyScrum.

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  Artificial Intelligence Class 5

  Geeta Zunjani

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  Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, 
  AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. 
  
  KEY FEATURES 
  - National Education Policy 2020 
  - AI Game: It contains an interesting game or activity for the students to try on their own or with their classmates to learn how the game mechanics work while having fun. 
  - Brainy Fact: It presents an interesting fact relevant to the topic or the chapters. 
  - AI in Life: It presents questions that promotes the moral growth and experiential learning. 
  - AI Deep Thinking: It presents a question/scenario in which the students are required to think deeply and apply their knowledge. 
  - Digital Solutions 
  
  DESCRIPTION 
  Artificial Intelligence is the most talked about subject and we all understand that the future lies in knowing it well. The Touchpad AI series is written for classes I to VII keeping in mind about the future and scope that lies in AI. Classes VIII to XII are strictly based on CBSE curriculum. They have competency-based questions to ensure that students are capable of applying their learning to solve some real-life challenges. The knowledge is spread in a phased manner so that at no age the kid finds it difficult to understand the theory. 
  
  Each lesson begins with a short conversation between human characters and one humanoid which tries to explain in simple words about the topics related to Artificial Intelligence. The story is built up in such a way that the curiosity of the reader compels to read the entire lesson. The idea behind introducing humanoid is to touch the hearts of our kids with the existence of friendly robots in the form of humanoids. 
  
  Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. 
  
  There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. There are some brainstorming questions in the form of AI Task in between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems. 
  
  I would like to humbly acknowledge the support provided by my family, friends and Orange Education Pvt Ltd team to accomplish this noble task. I am sure that this book will prove to be a tool in making the students future ready for Artificial Intelligence. Wishing learners great success in future endeavours. Enjoy the journey of happy learning!! All your feedbacks and suggestions will always be wholeheartedly welcomed to improve and grow. 
  
  WHAT WILL YOU LEARN 
  You will learn about: 
  - Human-Machine Interaction 
  - Introduction to AI 
  - AI in Apps 
  - Types of Robots 
  - Myths and Facts of AI 
  
  WHO THIS BOOK IS FOR 
  Grade 5 
  
  TABLE OF CONTENTS 
  
  1. Evolution of AI 
  a) Developments in A 
  
  2. AI-Terminologies 
  a) Artificial Intelligence 
  b) Aims of AI 
  c) AI-Terminologies 
  
  3. AI in Popular Apps 
  a) Siri 
  b) Cortana 
  c) Google Assistant 
  d) Alexa 
  e) Practo 
  f) Google Maps 
  g) Swiggy 
  h) YouTube 
  i) Netflix 
  Test Sheet 1 
  
  4. Sustainable Development Goals (SDGs) 
  a) What are Sustainable Development Goals (SDGs)? 
  b) Role of AI to Achieve SDGs 
  
  5. Parts of Robots 
  a) Difference Between Humans and Robots 
  b) Essential Parts of Robots 
  Test Sheet 2

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  This Is What Inequality Looks Like

  Teo You Yenn

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  What is poverty? What is inequality? How are they connected? How are they reproduced? How might they be overcome? Why should we try?The way we frame our questions shapes the way we see solutions. This book does what appears to be a no-brainer task, but one that is missing and important: it asks readers to pose questions in different ways, to shift the vantage point from which they view 'common sense,' and in so doing, to see themselves as part of problems and potential solutions. This is a book about how seeing poverty entails confronting inequality. It is about how acknowledging poverty and inequality leads to uncomfortable revelations about our society and ourselves. And it is about how once we see, we cannot, must not, unsee.This New Edition of This Is What Inequality Looks Like by Teo You Yenn features a new Afterword by the author, and a Foreword by Kwok Kian Woon, Professor of Sociology at the Nanyang Technological University, Singapore.© 2018 by Teo You Yenn. Published in paper format in Singapore by Ethos Books, recorded by Storyside 2019.

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  The 1 & The 0 - Binary

  Mike Blake

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  The One (1) and the Zero (0). Binary:About the intrinsic use of computer code down to Binary base level.They're all around us now, computers. In our heads with social media, and the internet is now part of our dna (so to speak).All fed by the 1's & the 0's !https://www.amazon.com/dp/B07GRC3428*MORE POEMS by the Author:https://www.amazon.com/-/e/B00SG40RM8To contact the Author: Please add me Mike Miko on Facebook & then message me, thanks.https://www.facebook.com/mike.cco1 I will then contact the Author your behalf.or on Twitter: miko_1_dollar ~ Tumblr : ccobes ~ Instagram: wild_poetrys   //  wild.poetry.websTikTok: @wild_poetrysWebsite: www.wild-poetry.comFacebook: WOW https://www.facebook.com/wow.fact

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  Hands-on ML Projects with OpenCV

  Mugesh S.

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  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects. 
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

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