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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 : 47,66 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 : 47,6 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 : 19,87 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.



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

Author : Hema Dhingra

Publisher : Goyal Brothers Prakashan

Page : 298 pages

File Size : 35,69 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



Data Science and Machine Learning

Author : Dirk P. Kroese

Publisher : CRC Press

Page : 538 pages

File Size : 18,51 MB

Release : 2019-11-20

Category : Business & Economics

ISBN : 1000730778

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Book Description

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code



The Book of R

Author : Tilman M. Davies

Publisher : No Starch Press

Page : 833 pages

File Size : 11,15 MB

Release : 2016-07-16

Category : Computers

ISBN : 1593276516

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Book Description

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.



Analytics, Data Science, and Artificial Intelligence

Author : Ramesh Sharda

Publisher :

Page : 832 pages

File Size : 43,64 MB

Release : 2020-03-06

Category : Business intelligence

ISBN : 9781292341552

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Book Description

For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.



The R Book

Author : Michael J. Crawley

Publisher : John Wiley & Sons

Page : 953 pages

File Size : 25,10 MB

Release : 2007-06-13

Category : Mathematics

ISBN : 9780470515068

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Book Description

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.



R for Everyone

Author : Jared P. Lander

Publisher : Addison-Wesley Professional

Page : 1456 pages

File Size : 19,89 MB

Release : 2017-06-13

Category : Computers

ISBN : 0134546997

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Book Description

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.



Statistical Rethinking

Author : Richard McElreath

Publisher : CRC Press

Page : 488 pages

File Size : 13,26 MB

Release : 2018-01-03

Category : Mathematics

ISBN : 1315362619

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Book Description

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.