Artificial Intelligence Class 1

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Artificial Intelligence Class 1

Author : Team Orange
Publisher : Orange Education Pvt Ltd
Page : 67 pages
File Size : 47,5 Mb
Release : 2022-12-08
Category : Computers
ISBN : 9789395141345

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Artificial Intelligence Class 1 by Team Orange Pdf

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 1 TABLE OF CONTENTS (to be filled by author) (Numbered list) 1. Natural and Artificial Things a) Natural Things b) Artificial Things c) Machine d) Computer—A Smart Machine 2. Smart Washing a) Smart Washing Machine b) Smart Vacuum Cleaner c) Smart Refrigerato d) Smart Speakers e) Smartwatches 3. Natural and Artificial Intelligence a) Natural Intelligence b) Artificial Intelligence AI Ready Projects

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard,Sylvain Gugger
Publisher : O'Reilly Media
Page : 624 pages
File Size : 42,9 Mb
Release : 2020-06-29
Category : Computers
ISBN : 9781492045496

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Deep Learning for Coders with fastai and PyTorch by Jeremy Howard,Sylvain Gugger Pdf

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Artificial Intelligence Class 4

Author : Geeta Zunjani
Publisher : Orange Education Pvt Ltd
Page : 100 pages
File Size : 54,5 Mb
Release : 2022-12-28
Category : Computers
ISBN : 9789395141376

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Artificial Intelligence Class 4 by Geeta Zunjani Pdf

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 4 TABLE OF CONTENTS 1. AI Inventions a) LOVOT b) Embodied Moxie c) Meeting Ow d) Kuri Mobil 2. Human vs. Machine Intelligence a) What is Intelligence? b) Human Intelligence c) Artificial Intelligence d) Are Computers Smarter? e) Similarities between Humans and Machines f) Differences between Human and Artificial Intelligence 3. How AI Works in Different Applications a) Optical Character Recognition b) Speech Recognition c) Face Recognition Test Sheet 1 4. Latest Robots a) Definition of Robots b) Types of Robots according to their Applications c) Latest Robots 5. Fields Where Robots Are Used a) Security and Surveillance b) Manufacturing c) Military d) Customer Service e) Cooking f) Healthcare g) Space Exploration h) Entertainment i) Agriculture j) Underwater Research Test Sheet 2 AI Ready Projects

Artificial Intelligence Class 3

Author : Geeta Zunjani
Publisher : Orange Education Pvt Ltd
Page : 98 pages
File Size : 44,8 Mb
Release : 2022-12-08
Category : Computers
ISBN : 9789395141369

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Artificial Intelligence Class 3 by Geeta Zunjani Pdf

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 2 TABLE OF CONTENTS 1. Computer Timeline a) 1970 – 1990 b) 1990 – 2000 c) 2000 – till date d) Future of Computer Science 2. Chatbots a) Chatbot b) Famous Chatbots Test Sheet 1 3. Robots Around Us a) Characteristics of Robots b) Artificial Intelligence in Robotics c) AI and Non-AI Robots 4. AI in Games and Movies a) AI in Games b) AI in Movies Test Sheet 2 AI Ready Projects

Artificial Intelligence

Author : Stuart Russell,Peter Norvig
Publisher : Createspace Independent Publishing Platform
Page : 626 pages
File Size : 51,8 Mb
Release : 2016-09-10
Category : Electronic
ISBN : 1537600311

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Artificial Intelligence by Stuart Russell,Peter Norvig Pdf

Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Machine Learning for Kids

Author : Dale Lane
Publisher : No Starch Press
Page : 290 pages
File Size : 47,6 Mb
Release : 2021-01-19
Category : Computers
ISBN : 9781718500570

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Machine Learning for Kids by Dale Lane Pdf

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Machine Learning: How Artificial Intelligence Learns (Fun Picture Book for K-2, AI+ME Series, Big Idea 3)

Author : ReadyAI
Publisher : Ready AI LLC
Page : 46 pages
File Size : 46,9 Mb
Release : 2020-10-19
Category : Computers
ISBN : 8210379456XXX

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Machine Learning: How Artificial Intelligence Learns (Fun Picture Book for K-2, AI+ME Series, Big Idea 3) by ReadyAI Pdf

Is your child interested in sci-fi, robots, or video games? Is your kid fascinated by smart home assistants and the prospect of self-driving cars? Time to turn that enthusiasm into action and engage with the exciting world of artificial intelligence! AI+Me is a series designed to introduce the 5 Big Ideas of Artificial Intelligence to young learners. Students take a deep dive into the Five Big Ideas of AI (Perception, Representation and Reasoning, Learning, Natural Interaction, and Societal Impact). This is the 3rd book in the AI+Me series focused on Learning. The series is recommended for K-2 students. Why should children be educated about AI? Learning AI opens up a world of opportunities. As the fastest growing area of computer science, AI will become the most important change force when our children grow up so it is critical they learn about it early. AI is fun! The field of AI started with scientists making computers learn to play games. AI is an incredibly fun way to introduce kids to programming and pique their interest in advanced topics like deep learning. Lastly, a topic like AI naturally opens up discussions about our humanity. In our curriculum, we dig deep into questions like “does AI positively or negatively impact society?” In doing so we aim to develop critical thinking skills and encourage students to reflect deeply. Benefits of AI education: - Gets children interested in #STEM education - Improves their problem-solving and critical-thinking skills - Builds their understanding of the tech tools that’ll shape their future - Starts important conversations about the future of humanity What are educators saying: “I really love these books. I think they are absolutely beautiful and very visually engaging ways for students to learn about artificial intelligence. I like how they progress through the topic and terms related to artificial intelligence and help students to attach meaning to what they are learning by the different examples and step-by-step ways that students build their understanding through the book.” - Rachelle Dene Poth, Author of In Other Words, Unconventional, The Future is Now, and Chart a New Course. What are parents saying: “My 1st grader loves this book. She already is really interested in computers, but this book got her thinking about how we actually tell emotions. She started using her camera on her computer to record different expressions.” “My son learned ReadyAI courses before. I let his friend read AI+Me big idea 1. Surprisingly, both of them finished reading the book, with a lot of interest! I Will recommend this book for elementary school students.” “I have been looking for fun ways to introduce AI to my kid, and this definitely nailed it.”

Artificial Intelligence with Python

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
Page : 437 pages
File Size : 47,7 Mb
Release : 2017-01-27
Category : Computers
ISBN : 9781786469670

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Artificial Intelligence with Python by Prateek Joshi Pdf

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

A First Course in Artificial Intelligence

Author : Osondu Oguike
Publisher : Bentham Science Publishers
Page : 343 pages
File Size : 51,8 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9781681088549

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A First Course in Artificial Intelligence by Osondu Oguike Pdf

The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.

Fundamentals of Artificial Intelligence

Author : Nisha Talagala,Sindhu Ghanta,AIClub
Publisher : Unknown
Page : 128 pages
File Size : 52,5 Mb
Release : 2022
Category : Electronic
ISBN : 0578362929

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Fundamentals of Artificial Intelligence by Nisha Talagala,Sindhu Ghanta,AIClub Pdf

This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.Artificial Intelligence is all around us. This book demystifies AI for K12 students and teachers using a unique combination of concept learning, hands-on plugged and unplugged exercises, context of how AI is used in industries from finance to marketing, and project ideas for students to apply their own creativity and build their own AIs. The ten fully illustrated color chapters cover both Machine Learning and Deep Learning, a comprehensive overview of AI Ethics, and popular AI algorithms from Linear Regression to Convolutional Neural Networks. Teacher's corners provide teachers with additional resources for bringing AI into the classroom. The book is paired with extensive online resources in curriculum, datasets, exercises, and code.The two authors (Nisha Talagala and Sindhu Ghanta) have extensive experience building industry AI solutions and have applied their knowledge to teach AI to K12 students. This book comes from their experiences of teaching AI to thousands of students around the world.

A Textbook of Artificial Intelligence for Class 9

Author : Hema Dhingra,Goyal Brothers Prakashan
Publisher : Goyal Brothers Prakashan
Page : 152 pages
File Size : 45,8 Mb
Release : 2020-01-01
Category : Juvenile Nonfiction
ISBN : 8210379456XXX

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A Textbook of Artificial Intelligence for Class 9 by Hema Dhingra,Goyal Brothers Prakashan Pdf

A Textbook of Artificial Intelligence for Class 9

Artificial Intelligence in Business Management

Author : Teik Toe Teoh,Yu Jin Goh
Publisher : Springer Nature
Page : 385 pages
File Size : 45,6 Mb
Release : 2023-11-26
Category : Technology & Engineering
ISBN : 9789819945580

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Artificial Intelligence in Business Management by Teik Toe Teoh,Yu Jin Goh Pdf

Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success.

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Author : Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer
Publisher : Springer Nature
Page : 582 pages
File Size : 40,9 Mb
Release : 2023-10-03
Category : Technology & Engineering
ISBN : 9783031133398

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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R by Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer Pdf

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.