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 UNDERSTANDING COMPUTER APPLICATIONS (FOR 2022-23 EXAMINATION)

SELF-HELP TO UNDERSTANDING COMPUTER APPLICATIONS (FOR 2022-23 EXAMINATION) PDF Author: Annie Lydia Paul
Publisher: Ravinder Singh and sons
ISBN:
Category : Education
Languages : en
Pages : 301

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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. This book includes the Answers to the Questions given in the Textbook Understanding Computer Applications Class 10 published by Avichal Publications Pvt. Ltd. This book is written by Annie Lydia Paul.

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

Mathematics for Computer Science

Mathematics for Computer Science PDF Author: Eric Lehman
Publisher:
ISBN: 9789888407064
Category : Business & Economics
Languages : en
Pages : 988

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Book Description
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Understanding Machine Learning

Understanding Machine Learning PDF Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
ISBN: 1107057132
Category : Computers
Languages : en
Pages : 415

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Book Description
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Structure and Interpretation of Computer Programs, second edition

Structure and Interpretation of Computer Programs, second edition PDF Author: Harold Abelson
Publisher: MIT Press
ISBN: 0262510871
Category : Computers
Languages : en
Pages : 685

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Book Description
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

The Book of R

The Book of R PDF Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593277792
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.

Computer Organization and Design RISC-V Edition

Computer Organization and Design RISC-V Edition PDF Author: David A. Patterson
Publisher: Morgan Kaufmann
ISBN: 0128122765
Category : Computers
Languages : en
Pages : 696

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Book Description
The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. Features RISC-V, the first such architecture designed to be used in modern computing environments, such as cloud computing, mobile devices, and other embedded systems Includes relevant examples, exercises, and material highlighting the emergence of mobile computing and the cloud

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.