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Touchpad Computer Applications for class Xth (code-165)

Touchpad Computer Applications for class Xth (code-165)

₹400 ₹520
23% off

The chapters of this book have been selected and designed as per the CBSE curriculum of Computer Applications (Code 165). KEY FEATURES ? National Education Policy 2020 ? Do you Know?: This section contains a fact about the topic. ? Lab Assignment 'N Activity: This section contains an activity to apply the concepts learnt. ? PART A & PART B: This section contains questions to assess the intellectual and comprehensive writing skills. ? CBSE Sample Question Paper: This section contains sample question paper. ? Digital Solutions DESCRIPTION The main features of this book are as follows: ? The language of the book is simple and easy to understand. ? The book focuses on Free and Open-Source Software (Foss) with highlights of MS Office. ? Notes are given for add-on knowledge. ? Students are provided with fun facts about the topic. ? Lab Activities are added in between the chapters to develop practical skills. ? The applications of IT Tools are discussed with real life scenarios. ? The contents will help to create opportunity for better job prospects with respect to IT fields. WHAT WILL YOU LEARN You will learn about: ? Networking ? HTML ? CSS ? Cyber ethics ? Scratch ? Python WHO THIS BOOK IS FOR Grade - 10 TABLE OF CONTENTS (to be filled by author) (Numbered list) 1. Unit-1: Networking (a) Chapter-1 Networking 2. Unit-2: HTML (a) Chapter-2 Introduction to HTML (b) Chapter-3 More About HTML (c) Chapter-4 Cascading Style Sheets 3. Unit-3: Cyber Ethics (a) Chapter-5 Cyber Ethics 4. Unit-4: Scratch or Python (a) Chapter-6 Scratch (b) Chapter-7 Programming in Python (c) Chapter-8 Decision Making in Python (d) Chapter-9 Looping in Python 5. Practical Work 6. Viva Voce Questions 7. Projects 8. Glossary 9. CBSE Sample Question Paper

2 years ago
Artificial Intelligence for class 9

Artificial Intelligence for class 9

₹199 ₹600
67% off

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 ● Neural Networks ● AI Project Cycle ● Introduction to Python WHO THIS BOOK IS FOR Grade - 9 TABLE OF CONTENTS 1. Part A Employability Skills a. Unit-1 Communication Skills-I b. Unit-2 Self-Management Skills-I c. Unit-3 ICT Skills-I d. Unit-4 Entrepreneurial Skills-I e. Unit-5 Green Skills-I 2. Part B Subject Specific Skills a. Unit-1 Introduction to AI b. Unit-2 AI Project Cycle c. Unit-3 Neural Networks d. Unit-4 Introduction to Python 3. Part C Practical Work

1 year ago
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Information technology

Information technology

₹300

In this revelatory, authoritative portrait of Donald J. Trump and the toxic family that made him, Mary L. Trump, a trained clinical psychologist and Donald’s only niece, shines a bright light on the dark history of their family in order to explain how her uncle became the man who now threatens the world’s health, economic security, and social fabric. Mary Trump spent much of her childhood in her grandparents’ large, imposing house in the heart of Queens, New York, where Donald and his four siblings grew up. She describes a nightmare of traumas, destructive relationships, and a tragic combination of neglect and abuse. She explains how specific events and general family patterns created the damaged man who currently occupies the Oval Office, including the strange and harmful relationship between Fred Trump and his two oldest sons, Fred Jr. and Donald. A firsthand witness to countless holiday meals and interactions, Mary brings an incisive wit and unexpected humor to sometimes grim, often confounding family events. She recounts in unsparing detail everything from her uncle Donald’s place in the family spotlight and Ivana’s penchant for regifting to her grandmother’s frequent injuries and illnesses and the appalling way Donald, Fred Trump’s favorite son, dismissed and derided him when he began to succumb to Alzheimer’s. Numerous pundits, armchair psychologists, and journalists have sought to parse Donald J. Trump’s lethal flaws. Mary L. Trump has the education, insight, and intimate familiarity needed to reveal what makes Donald, and the rest of her clan, tick. She alone can recount this fascinating, unnerving saga, not just because of her insider’s perspective but also because she is the only Trump willing to tell the truth about one of the world’s most powerful and dysfunctional families.

2 years ago
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Computer science with Java class 11

Computer science with Java class 11

₹300

Written in Accordance with CBSE Syllabus for Board Examination to be Held in 2009 and 2010 This textbook is a sequel to the Textbook of Computer Science for Class XI. It is written in a simple, direct style for maximum clarity. It comprehensively covers the Class XII CBSE syllabus of Computer Science (subject code 083). The goal of the book is to develop the student’s proficiency in fundamentals and make the learning process creative, engrossing and interesting. There are practice exercises and questions throughout the text, designed on the pattern of sample question papers published by CBSE. The approach of this book is to teach the students through extensive “skill and drill” type exercises in order to make them high-ranking achievers in the Board examinations. KEY FEATURES  Provides accurate and balanced coverage of topics as prescribed in the CBSE syllabus code 083.  Builds a solid programming foundation in C++.  Students can prepare a Practical File with solved programming examples given in the text.  End-of-chapter questions help teachers prepare assignments for self-practice by the students.  End-of-chapter Programming Exercises help students in preparing for the Board practical examination.  Solved questions at the end of each chapter prepare students for the Board theory examination. For further guidance on how to use this book effectively, e-mail the author using seema_591@rediffmail.com

2 years ago
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Machine Learning using Java

Machine Learning using Java

₹400

Design, build, and deploy your own machine learning applications by leveraging key Java machine learning librariesAbout This Book- Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries- Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications- Packed with practical advice and tips to help you get to grips with applied machine learningWho This Book Is ForIf you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.What You Will Learn- Understand the basic steps of applied machine learning and how to differentiate among various machine learning approaches- Discover key Java machine learning libraries, what each library brings to the table, and what kind of problems each are able to solve- Learn how to implement classification, regression, and clustering- Develop a sustainable strategy for customer retention by predicting likely churn candidates- Build a scalable recommendation engine with Apache Mahout- Apply machine learning to fraud, anomaly, and outlier detection- Experiment with deep learning concepts, algorithms, and the toolbox for deep learning- Write your own activity recognition model for eHealth applications using mobile sensorsIn DetailAs the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition.

2 years ago
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