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Artificial Intelligence Class X

Published by Edusoft Drive, 2022-04-12 07:00:17

Description: Artificial Intelligence Class X

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ARTIFICIAL CBSE Code 417 INTELLIGENCE Class X © All rights reserved with “Edusoft IT Solutions Pvt. Ltd., New Delhi” No part of this book may be reproduced by any mechanical, photographic, or electronic process, or in the form of a phonographic recording, nor may it be stored in a retrieval system, transmitted, or otherwise copied for public or private use, without written permission from Edusoft IT Solutions Pvt. Ltd. Disclaimer: All the brands and product names referred to in this book are hereby acknowledged to be the trademark or registered trademarks of their respective organizations. Edusoft IT Solutions Pvt. Ltd. is not associated with any product or vendor mentioned in this book. Artificial Intelligence is the fuel of the future. Its subsets – Machine Learning, Deep Learning and regression have the power to revolutionalise the way industries function. It is also going to influence economic growth and social development. Artificial Intelligence – Future, now! book series is the extension to the endeavours by CBSE in creating the ecosystem for skill-based education under National Skills Qualifications Framework propounded by Ministry of Skill Development and Entrepreneurship. ⊶ AI foundational concepts: Artificial neural networks, machine learning, deep learning, reinforcement learning, AI domains, AI applications. ⊶ Good AI, unbiased AI, unethical AI, AI ethical framework, AI access, AI and employment. ⊶ AI Project cycle: problem scoping, data acquisition, data exploration, modelling, evaluation. ⊶ AI models: rule-based models, learning-based models, decision trees, regression models, classification models, clustering models, Artificial Neural Network. ⊶ Python: Algorithms and flowcharts, IDLE, WIDE, Anaconda distribution, Jupyter Notebook, lists, flow controls, modules, packages. ⊶ Data Science: Applications, advantages, project cycle, statistics package, data exploration with pandas, data visualisation with matplotlib, histograms, exploratory data analysis with box-whisker plot, K nearest classification algorithm. ⊶ Computer vision with OpenCV library, CV tasks - classification, localisation, object detection, instance segmentation, image feature extraction. ⊶ Convolution NN with real kernels - blur, sharpen, blend, emboss etc. ⊶ NLP: segmentation, tokenisation, stemming, lemmatisation, stopwords, BoW algorithm , TF, DF, IDF, TF- IDF algorithm, overview of NLTK library. \"AI is a tool. The choice about how it gets deployed is ours.\" — Oren Etzioni Watch www.eduitspl.com le&arn www.youtube.com/edusoftknowledgeverse Edusoft IT Solutions Pvt. Ltd. ISBN: 978-81-946100-8-3 SSDN Regd. Office : KD-231, Pitampura, Delhi- 110034 E dusof tTM Ph.: +91-11-27043431, +91-9136792617 ITS (P) Ltd. Educational Publishers Email: [email protected], Website: www.eduitspl.com Printed at : Kaveri Print Process Pvt. Ltd., Sec-65, Noida. MRP: `588/-


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