A Textbook of Artificial Intelligence for Class 11

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Author :
Publisher : Goyal Brothers Prakashan
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Textbook of Artificial Intelligence for Class 11 by : Hema Dhingra

Download or read book A Textbook of Artificial Intelligence for Class 11 written by Hema Dhingra and published by Goyal Brothers Prakashan. This book was released on 2021-06-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is being widely recognized to be the power that will fuel the future global digital economy. AI in the past few years has gained geostrategic importance and a large number of countries are striving hard to stay ahead with their policy initiatives to get their country already. AI is a continually advancing and expanding field and AI readiness will lead to better opportunities and increased levels of understanding. It will help them visualize jobs of the future and prepare for them. Its multidisciplinary nature will help to make connections between all other subjects thereby adding value and giving a different perspective for all. The CBSE curriculum focuses on building AI readiness in young minds. The importance of skill-based education and the value of project-related work is clear in order to "effectively harness the potential of AI in a sustainable manner to make India's next-generation 'AI ready'. AB a beginning in this direction, CBSE introduced Artificial Intelligence starting from Class VI onward. Students should opt for this curriculum to become future-ready and become at par with their counterparts at a global level. The aim is to strive together to make our students future-ready and help they work on incorporating Artificial Intelligence to improve their learning experience. Goyal Brothers Prakashan

Artificial Intelligence

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781537600314
Total Pages : 626 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Artificial Intelligence by : Stuart Russell

Download or read book Artificial Intelligence written by Stuart Russell and published by Createspace Independent Publishing Platform. This book was released on 2016-09-10 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3030723577
Total Pages : 497 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Artificial Intelligence by : Charu C. Aggarwal

Download or read book Artificial Intelligence written by Charu C. Aggarwal and published by Springer Nature. This book was released on 2021-07-16 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11. Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.

Artificial Intelligence Class 1

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Author :
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9395141344
Total Pages : 67 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Artificial Intelligence Class 1 by : Team Orange

Download or read book Artificial Intelligence Class 1 written by Team Orange and published by Orange Education Pvt Ltd. This book was released on 2022-12-08 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence and Deep Learning in Pathology

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Publisher : Elsevier Health Sciences
ISBN 13 : 0323675379
Total Pages : 290 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Artificial Intelligence and Deep Learning in Pathology by : Stanley Cohen

Download or read book Artificial Intelligence and Deep Learning in Pathology written by Stanley Cohen and published by Elsevier Health Sciences. This book was released on 2020-06-02 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

A Textbook of Artificial Intelligence for Class 10

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Publisher : Goyal Brothers Prakashan
ISBN 13 : 8183891381
Total Pages : 271 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis A Textbook of Artificial Intelligence for Class 10 by : Hema Dhingra

Download or read book A Textbook of Artificial Intelligence for Class 10 written by Hema Dhingra and published by Goyal Brothers Prakashan. This book was released on 2020-04-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goyal Brothers Prakashan

A Textbook of Artificial Intelligence for Class 12

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Author :
Publisher : Goyal Brothers Prakashan
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Textbook of Artificial Intelligence for Class 12 by : Hema Dhingra

Download or read book A Textbook of Artificial Intelligence for Class 12 written by Hema Dhingra and published by Goyal Brothers Prakashan. This book was released on 2021-08-01 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goyal Brothers Prakashan

Artificial Intelligence for Students

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Publisher : BPB Publications
ISBN 13 : 9355517963
Total Pages : 422 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Artificial Intelligence for Students by : Vibha Pandey

Download or read book Artificial Intelligence for Students written by Vibha Pandey and published by BPB Publications. This book was released on 2023-03-27 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multifaceted approach to develop an understanding of AI and its potential applications KEY FEATURES ● AI-informed focuses on AI foundation, applications, and methodologies. ● AI-inquired focuses on computational thinking and bias awareness. ● AI-innovate focuses on creative and critical thinking and the Capstone project. DESCRIPTION AI is a discipline in Computer Science that focuses on developing intelligent machines, machines that can learn and then teach themselves. If you are interested in AI, this book can definitely help you prepare for future careers in AI and related fields. The book is aligned with the CBSE course, which focuses on developing employability and vocational competencies of students in skill subjects. The book is an introduction to the basics of AI. It is divided into three parts – AI-informed, AI-inquired and AI-innovate. It will help you understand AI's implications on society and the world. You will also develop a deeper understanding of how it works and how it can be used to solve complex real-world problems. Additionally, the book will also focus on important skills such as problem scoping, goal setting, data analysis, and visualization, which are essential for success in AI projects. Lastly, you will learn how decision trees, neural networks, and other AI concepts are commonly used in real-world applications. By the end of the book, you will develop the skills and competencies required to pursue a career in AI. WHAT YOU WILL LEARN ● Get familiar with the basics of AI and Machine Learning. ● Understand how and where AI can be applied. ● Explore different applications of mathematical methods in AI. ● Get tips for improving your skills in Data Storytelling. ● Understand what is AI bias and how it can affect human rights. WHO THIS BOOK IS FOR This book is for CBSE class XI and XII students who want to learn and explore more about AI. Basic knowledge of Statistical concepts, Algebra, and Plotting of equations is a must. TABLE OF CONTENTS 1. Introduction: AI for Everyone 2. AI Applications and Methodologies 3. Mathematics in Artificial Intelligence 4. AI Values (Ethical Decision-Making) 5. Introduction to Storytelling 6. Critical and Creative Thinking 7. Data Analysis 8. Regression 9. Classification and Clustering 10. AI Values (Bias Awareness) 11. Capstone Project 12. Model Lifecycle (Knowledge) 13. Storytelling Through Data 14. AI Applications in Use in Real-World

Deep Learning

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Author :
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Artificial Intelligence Class 3

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Author :
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9395141360
Total Pages : 98 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Artificial Intelligence Class 3 by : Geeta Zunjani

Download or read book Artificial Intelligence Class 3 written by Geeta Zunjani and published by Orange Education Pvt Ltd. This book was released on 2022-12-08 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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