A Textbook of Artificial Intelligence for Class 11
A Textbook of Artificial Intelligence for Class 11

Author: Hema Dhingra

Publisher: Goyal Brothers Prakashan

Published: 2021-06-01

Total Pages: 292

ISBN-13:

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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

You Look Like a Thing and I Love You
You Look Like a Thing and I Love You

Author: Janelle Shane

Publisher: Voracious

Published: 2019-11-05

Total Pages: 272

ISBN-13: 0316525235

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As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. "I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." —Adam Grant, New York Times bestselling author of Originals

Artificial Intelligence
Artificial Intelligence

Author: Stuart Russell

Publisher: Createspace Independent Publishing Platform

Published: 2016-09-10

Total Pages: 626

ISBN-13: 9781537600314

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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 and Deep Learning in Pathology
Artificial Intelligence and Deep Learning in Pathology

Author: Stanley Cohen

Publisher: Elsevier Health Sciences

Published: 2020-06-02

Total Pages: 290

ISBN-13: 0323675379

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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.

Artificial Intelligence
Artificial Intelligence

Author: David L. Poole

Publisher: Cambridge University Press

Published: 2017-09-25

Total Pages: 821

ISBN-13: 110719539X

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Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Understanding Machine Learning
Understanding Machine Learning

Author: Shai Shalev-Shwartz

Publisher: Cambridge University Press

Published: 2014-05-19

Total Pages: 415

ISBN-13: 1107057132

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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Artificial Intelligence & Me (Special Edition)
Artificial Intelligence & Me (Special Edition)

Author: Readyai

Publisher:

Published: 2020-11-23

Total Pages: 146

ISBN-13: 9781087929798

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'Artificial Intelligence & Me' is a book that introduces & explains the 5 Big Ideas in AI to kids. It does so with the help of stories, activities, and engaging puzzles.

Probabilistic Machine Learning
Probabilistic Machine Learning

Author: Kevin P. Murphy

Publisher: MIT Press

Published: 2022-03-01

Total Pages: 858

ISBN-13: 0262369303

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A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.

A Textbook of Web Application for Class XI (A.Y. 2023-24)Onward
A Textbook of Web Application for Class XI (A.Y. 2023-24)Onward

Author: Kalpana Sharma

Publisher: Goyal Brothers Prakashan

Published: 2023-05-20

Total Pages: 210

ISBN-13: 9357260005

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This book, Web Applications for Class XI (803) aims at providing an in-depth understanding of the CBSE curriculum. It strictly adheres to the latest syllabus and guidelines laid down by the Board. This book focuses on teaching Web Application to young learners. It helps students to learn concepts of HTML, Javascript and CSS for inculcating web development and problem solving skills. Based on the CBSE curriculum, this book has been divided into four units: Basics of Networking and Web Architecture, Website Development using HTML and CSS, Multimedia Design - GIMP and Introduction to Dynamic Websites using JavaScript. This book contains ample number of practical programs with easy to understand examples. Each chapter contains the following: (a) Learning Objectives: It describes the goals to be achieved at the end of the chapter. (b) Chapter Contents: Concepts are explained to strengthen the knowledge base of young learners. (c) Did You Know?: It gives some extra and useful information on the topic being covered. (d) Activity Time: It encourages the students to explore some practical knowledge of the topic being covered. (e) Check Your Knowledge: At the end of some topics, this section is given to evaluate the knowledge of the learners. It comprises multiple choice questions, answer the following questions and practical work. (f) Test Yourself: It includes questions with variety of headings as Multiple choice questions, Short answer type questions(l-11) , long answer questions, activity zone and group discussion. We are sure that this book will be of immense help to students and teachers alike. Constructive feedback for the improvement of this book will be highly appreciated and gratefully acknowledged. AUTHORS