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A Textbook of Data Science For Class 12 (A.Y. 2023-24)Onward

Author : Meenu Kohli

Publisher : Goyal Brothers Prakashan

Page : 154 pages

File Size : 32,52 MB

Release : 2023-05-20

Category : Juvenile Nonfiction

ISBN : 9357260072

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Book Description

Computer technology, large number of people and dependence on Al has led to large transactions of data throughout the world. The need to study data science has never been greater. Various types of data have to be interacted with and various technical methods are used to open files received in these transactions. Data Science is itself very much grounded on Mathematics and Statistics, and cannot be understood without relying a lot on computer science. With these points in mind, the CBSE has suggested that the subject Data Science be added as a subject in Classes 11 and 12. We have come out with this book, "A Textbook of Data Science for class 11." The book is divided into two parts: Parts A (Employability Skills) and B (Subject Specific Skills). • Part A consists of the chapters on Communication Skills - Ill, Self Management Skills - Ill, ICT Skills - Ill, Entrepreneurial Skills - Ill and Green Skills - Ill. • Part B consists of data science related chapters. They are Ethics in Data Science, Assessing Data, Forecasting on Data, Randomization and Introduction to R Studio. The chapters have the following features: •:• Learning Objectives: It describes the goals to be achieved by the end of the chapter. •:• Chapter Contents: Concepts are explained to strengthen the knowledge base of the learners. •:• Check Your Knowledge: It gives question(s) to test the student's understanding of the chapter taught. •:• Test Yourself: It includes questions with headings such as Multiple choice questions, Match the following, Short Answer Type questions, Long answer type questions, Activity Zone and Group Discussion. This effort of ours will be of immense use for the students and teachers. Any feedback given regarding the quality of the material will be gracefully accepted and acknowledged. We intend to improve the book further, if possible. AUTHOR



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

Author : Kalpana Sharma

Publisher : Goyal Brothers Prakashan

Page : 170 pages

File Size : 36,38 MB

Release : 2023-05-20

Category : Juvenile Nonfiction

ISBN : 9357260013

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Book Description

This book, Web Applications for Class XII (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 consists of Part A (Employability Skils) and Part B (Subject Specific Skills). The book focuses on teaching Web Applications to young learners. It helps the students learn concepts of HTML, JavaScript and Advanced Web Design for inculcating web development and problem-solving skills. Based on the CBSE curriculum, Part B has been divided into four units: Movie Editing Tools, Customising and Embedding Multimedia Components in Web Pages, Web Scripting - JavaScript and Advanced Features of Web Design. 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, subjective as well as objective questions, and practical work. (f) Test Yourself: It includes questions with a 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



A Textbook of Artificial Intelligence for Class IX (A.Y. 2023-24)Onward

Author : Hema Dhingra

Publisher : Goyal Brothers Prakashan

Page : 234 pages

File Size : 19,82 MB

Release : 2023-05-20

Category : Juvenile Nonfiction

ISBN : 9389749328

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Book Description

The term "artificial intelligence" may sound intimidating to some, but it has been in use for decades and its applications are more common than you might imagine. It is gaining the spotlight across applications in our personal and professional lives. AI is still at a relatively early stage of development, so that the range of potential applications, have ample scope left for further development. It holds the promise of solving some of the most pressing issues facing society, but also presents challenges such as unethical use of data and potential job displacement. There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives. A1 assists in every area of our lives, whether we're trying to read our emails, get driving directions, get music or movie recommendations. AI is a constellation of technologies that enable machines to act with higher levels of intelligence and emulate the human capabilities of sense, comprehend and act. A1 is not specifically related to computer science. This is a field of study that encompasses human behaviour, biology, psychology, and even language and linguistics. AI presents opportunities to complement and supplement human intelligence and enrich the way people live and work. Artificial Intelligence is being widely recognized to be the power that will fuel this future global digital economy. Countries around the world are becoming increasingly aware of the potential benefits of developing and applying AI. From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google's search algorithms to IBM's Watson to autonomous weapons. From Amazon shopping recommendations, Facebook image recognition, and personal assistants like Siri, Cortana, and Alexa, your phone is becoming a portal to real-world applications of artificial intelligence. This book is a "glimpse into the future" that illustrates how AI will continue to transform our daily lives in the near future. Digitalisation and the new technological possibilities that artificial intelligence (A1) brings are driving the biggest social and economic changes since the industrial revolution. Without the right political, economic and ethical framework conditions there is a risk of uncontrolled development and a negative impact of AI. Artificial intelligence (A1) is doing a lot of good and will continue to provide many benefits for our modern world, but along with the good, there will inevitably be negative consequences. The sooner we begin to contemplate what those might be, the better equipped we will be to mitigate and manage the dangers. While writing the book, we have tried to keep the explanation simple with lots of examples and illustrations. Lastly, there is always a scope of improvement. Thus, it is a request to our esteemed readers to send the feedback and suggestions etc for the improvement of the book. All your requests are welcome.



Data Science for Beginners

Author : Prof John Smith

Publisher : Independently Published

Page : 83 pages

File Size : 41,58 MB

Release : 2018-12-12

Category :

ISBN : 9781791620127

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Book Description

DATA SCIENCE FOR BEGINNERS Introduction to Data Science: Python,Coding, Application, Statistics,Decision Tree, Neural Network, and Linear Algebra WHAT THIS BOOK WILL DO FOR YOU We will talk about what is the need for data science and then what exactly is data science some definitions and understand. The differences between data science and business intelligence,Then we will talk about the prerequisites for learning data science, and then what does the data scientist do. What are the activities performed by a data scientist as a part of his daily life and then we will talk about the data science lifecycle witha quick example and briefly touch upon the demand or ever-increasing demand for data scientist. Benefits of Data science Data Science: Automobile Data science: Aviation Data science can also be used to make promotional offers. Chapters Data science: Its Advantage Data science: Its Definition Process in data science Difference between business intelligence and data science Prerequisites for data science Machine learning. Data science: Tools and skills in data science. Data Science: Machine-learning algorithms Data science: Life cycle of a data science Data science: Exploratory data analysis Data science: Techniques for exploratory data analysis



Data Science

Author : Vijay Kotu

Publisher : Morgan Kaufmann

Page : 568 pages

File Size : 42,39 MB

Release : 2018-11-27

Category : Computers

ISBN : 0128147628

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Book Description

Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You’ll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more... Contains fully updated content on data science, including tactics on how to mine business data for information Presents simple explanations for over twenty powerful data science techniques Enables the practical use of data science algorithms without the need for programming Demonstrates processes with practical use cases Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language Describes the commonly used setup options for the open source tool RapidMiner



Data Science and Its Applications

Author : Aakanksha Sharaff

Publisher : CRC Press

Page : 443 pages

File Size : 41,64 MB

Release : 2021-08-18

Category : Computers

ISBN : 1000414000

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Book Description

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.



Fundamentals of Data Science

Author : Sanjeev J. Wagh

Publisher : CRC Press

Page : 297 pages

File Size : 43,11 MB

Release : 2021-09-26

Category : Business & Economics

ISBN : 0429811470

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Book Description

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.



Data Science & Business Analytics

Author : Sneha Kumari

Publisher : Emerald Group Publishing

Page : 288 pages

File Size : 47,49 MB

Release : 2020-12-04

Category : Computers

ISBN : 1800438761

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Book Description

Data Science & Business Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.



The Data Science Workshop

Author : Anthony So

Publisher : Packt Publishing Ltd

Page : 817 pages

File Size : 13,26 MB

Release : 2020-01-29

Category : Computers

ISBN : 1838983082

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Book Description

Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book DescriptionYou already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of creating new features with automated feature tool Simplify machine learning using open source Python packages Who this book is forOur goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.



ICSE Robotics and Artificial Intelligence Class 9 (A.Y. 2023-24)Onward

Author : Hema Dhingra

Publisher : Goyal Brothers Prakashan

Page : 298 pages

File Size : 42,5 MB

Release : 2023-05-20

Category : Juvenile Nonfiction

ISBN : 9357260242

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Book Description

The concept of Robotics and Artifldal Intelligence (AI) has been in practice over the years with the advent of technological progress overtime and is transforming our world in profound and unprecedented ways, with the potential to revolutionise virtually every aspect of our lives. From self-driving cars and personal assistants to medical diagnosis and financial forecasting, AI is rapidly becoming an indispensable tool for solving complex problems and unlocking new opportunities for innovation and progress. As the world becomes increasingly complex and interconnected, robotics has emerged as a critical field that is revolution ising how we live, work and interact with our environment. From manufacturing and transportation to healthcare and education, robots are transforming industries and creating new opportunities for innovation and progress. Keeping this in mind, I.C.S.E. Robotics and Artificial Intelligence for Class 9 has been designed. This book is strictly based on the latest syllabus prescribed by the Council for the Indian School Certificate Examination (CISCE) and is intended to provide a comprehensive overview of the field, exploring the fundamental principles and applications of robotics and AI technology. Based on the latest research and developments in the fields, this book offers a detailed overview of the key concepts and techniques that underpin AI, from machine learning and natural language processing to computer vision and Robotics. This book will provide you with a comprehensive and up-todate understanding of these exciting and rapidly evolving fields keeping in line with ICSE syllabus. Salient Features of this Book • As per the latest syllabus and examination pattern prescribed by the ICSE. • The book is divided into two parts: Part I deals with the Robotics portion. This part consists of three units: Introduction to Robotics, Robot as a System and Concepts in Robotics. Part II deals with the Artificial Intelligence portion. This part consists of rwe units: Introduction to Artificial Intelligence (AI), Role of Data and Information. Evolution of Computing, Introduction to Data and Programming with Python, AI Concepts and AI Project Framework, and Assignments and Laboratory Experiments. • All the concepts explained in a simple language using a step-by-step approach supported by a Lot of illustrations. Chapter-wise Features • Learning Objectives introduces you to the learning outcomes and knowledge criteria covered in the chapter. • Chapter content caters to know about the topic of the chapter which may enrich your knowledge. • Did You Know? provides an interesting piece of knowledge to get the students interested. • Activity encourages students to integrate theory with practice. • Recap sums up the key concepts given in the chapter. • Key Terms are the main terminologies that are present in the chapter. • Each chapter contains an accompanying exercise that will assess students' understanding after they have completed the entire unit by answering the questions given in the exercise. Online Support • E-books (for teachers only). Teadtvs Resource Book • Overview of the chapters • Lesson plan • Answers of the exercise We hope that this book will inspire you to explore the limitless possibilities of Robotics and AI to make meaningful contributions to this dynamic and transformative field. Thus, it is a request to our esteemed readers to share the feedback. suggestions* etc. for the improvement of the book. All your suggestions for the improvement of the book are welcome. -Author