Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION)

Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION) PDF Author: Annie Lydia Paul
Publisher: Ravinder Singh and sons
ISBN:
Category : Education
Languages : en
Pages : 296

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Book Description
Solutions of Understanding Computer Applications 2022 Examination

Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION)

Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION) PDF Author: Annie Lydia Paul
Publisher: Ravinder Singh and sons
ISBN:
Category : Education
Languages : en
Pages : 296

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Book Description
Solutions of Understanding Computer Applications 2022 Examination

SELF-HELP TO ICSE ECONOMICS CLASS X [FOR 2022-23 EXAMINATIONS]

SELF-HELP TO ICSE ECONOMICS CLASS X [FOR 2022-23 EXAMINATIONS] PDF Author: K.D. Singh
Publisher: Ravinder Singh and sons
ISBN:
Category : Education
Languages : en
Pages : 283

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Book Description
This book is written strictly in accordance with the latest syllabus prescribed by the Council for the I.C.S.E. Examinations in and after 2023.

SELF-HELP TO UNDERSTANDING COMPUTER APPLICATIONS (FOR 2021 EXAMINATION)

SELF-HELP TO UNDERSTANDING COMPUTER APPLICATIONS (FOR 2021 EXAMINATION) PDF Author: Annie Lydia Paul
Publisher: Ravinder Singh and sons
ISBN: 8193832906
Category : Study Aids
Languages : en
Pages : 295

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Book Description
Solutions of Understanding Computer Applications 2021 Examination

All of Statistics

All of Statistics PDF Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446

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Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Computational Complexity

Computational Complexity PDF Author: Sanjeev Arora
Publisher: Cambridge University Press
ISBN: 0521424267
Category : Computers
Languages : en
Pages : 609

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Book Description
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Discrete Mathematics for Computer Science

Discrete Mathematics for Computer Science PDF Author: Gary Haggard
Publisher: Cengage Learning
ISBN: 9780534495015
Category : Computers
Languages : en
Pages : 0

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Book Description
Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career.

The Book of R

The Book of R PDF Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833

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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.

Information Systems

Information Systems PDF Author: John Gallaugher
Publisher:
ISBN: 9781453375747
Category : Information resources management
Languages : en
Pages : 479

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Book Description


Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519

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Book Description
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Class

Class PDF Author: Paul Fussell
Publisher: Simon and Schuster
ISBN: 0671792253
Category : Social Science
Languages : en
Pages : 212

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Book Description
This book describes the living-room artifacts, clothing styles, and intellectual proclivities of American classes from top to bottom.