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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 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. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real life challenges. 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. WHAT WILL YOU LEARN You will learn about: ● Introduction to AI ● Pioneers of AI ● Domains of AI ● Fields of AI ● Future of AI WHO THIS BOOK IS FOR Grade 7 TABLE OF CONTENTS (to be filled by author) (Numbered list) 1. Introduction to AI 2. Pioneers in the field of AI 3. Domains of AI 4. Fields of AI 5. Concept of Smart Living 6. Future of Artificial Intelligence 7. AI Ready 8. Projects 9. AI Glossary 10. AI Innovators
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.
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 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+
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
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Touchpad AI series has some salient features such as AI Game, AI Lab. KEY FEATURES (5-7 points)(each point should be 70 characters with space)(to be filled by author) ● National Education Policy 2020 ● AI Game: It contains an interesting game or activity for the students. ● AI Lab: It contains questions to improve practical skills. ● Brainy Fact: It is an interesting fact relevant to the topic. ● AI Glossary: This section contains definition of important AI terms. ● Digital Solutions DESCRIPTION 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. The series is written keeping in mind about the future and scope that lies in Artificial Intelligence. The knowledge is spread in a phased manner so that at no age the kid finds it difficult to understand the theory. There are some brainstorming activities 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. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real-life challenges. There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. WHAT WILL YOU LEARN You will learn about: ● Communication skills ● Management skills ● Fundamentals of computers ● ICT Tools ● Entrepreneurship ● Green Skills ● Introduction to AI ● Computer vision ● Natural Language Processing ● Data Science ● AI Project Cycle ● Advance Python WHO THIS BOOK IS FOR Grade 10 TABLE OF CONTENTS 1. Part A Employability Skills a. Unit-1 Communication Skills-II b. Unit-2 Self Management Skills-II c. Unit-3 ICT Skills-II d. Unit-4 Entrepreneurial Skills-II e. Unit-5 Green Skills-II 2. Part B Subject Specific Skills a. Unit-1 Introduction to AI b. Unit-2 AI Project Cycle c. Unit-3 Advance Python d. Unit-4 Data Science e. Unit-5 Computer Vision f. Unit-6 Natural Language Processing g. Unit-7 Evaluation 3. Part C Practical Work a. Python Practical Questions b. Viva Voce Questions 4. Projects 5. AI Glossary 6. AI Innovators 7. CBSE Sample Question Paper
Description of the product • 100 % Updated for 2023-24 with latest Rationalised NCERT Textbooks • Crisp Revision with Concepts Review, Mind Maps & Mnemonics • Valuable Exam Insights with Fully Solved NCERT Textbook +Exemplar Questions • Extensive Practice with 1600+ Practice Questions & Activity Questions • NEP Compliance with Artificial intelligence & Art Integration
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
Description of the Product: • 100 % Updated for 2023-24 with latest Rationalised NCERT Textbooks • Crisp Revision with Concepts Review, Mind Maps & Mnemonics • Valuable Exam Insights with Fully Solved NCERT Textbook +Exemplar Questions • Extensive Practice with 1600+ Practice Questions & Activity Questions • NEP Compliance with Artificial intelligence & Art Integration