Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION)
Title | Self-Help To Understanding Computer Applications Class X(FOR 2022 EXAMINATION) PDF eBook |
Author | Annie Lydia Paul |
Publisher | Ravinder Singh and sons |
Total Pages | 296 |
Release | |
Genre | Education |
ISBN |
Solutions of Understanding Computer Applications 2022 Examination
SELF-HELP TO ICSE ECONOMICS CLASS X [FOR 2022-23 EXAMINATIONS]
Title | SELF-HELP TO ICSE ECONOMICS CLASS X [FOR 2022-23 EXAMINATIONS] PDF eBook |
Author | K.D. Singh |
Publisher | Ravinder Singh and sons |
Total Pages | 283 |
Release | |
Genre | Education |
ISBN |
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)
Title | SELF-HELP TO UNDERSTANDING COMPUTER APPLICATIONS (FOR 2021 EXAMINATION) PDF eBook |
Author | Annie Lydia Paul |
Publisher | Ravinder Singh and sons |
Total Pages | 295 |
Release | |
Genre | Study Aids |
ISBN | 8193832906 |
Solutions of Understanding Computer Applications 2021 Examination
Understanding Machine Learning
Title | Understanding Machine Learning PDF eBook |
Author | Shai Shalev-Shwartz |
Publisher | Cambridge University Press |
Total Pages | 415 |
Release | 2014-05-19 |
Genre | Computers |
ISBN | 1107057132 |
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Computer Organization and Design RISC-V Edition
Title | Computer Organization and Design RISC-V Edition PDF eBook |
Author | David A. Patterson |
Publisher | Morgan Kaufmann |
Total Pages | 700 |
Release | 2017-05-12 |
Genre | Computers |
ISBN | 0128122765 |
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
Computational Complexity
Title | Computational Complexity PDF eBook |
Author | Sanjeev Arora |
Publisher | Cambridge University Press |
Total Pages | 609 |
Release | 2009-04-20 |
Genre | Computers |
ISBN | 0521424267 |
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
All of Statistics
Title | All of Statistics PDF eBook |
Author | Larry Wasserman |
Publisher | Springer Science & Business Media |
Total Pages | 446 |
Release | 2013-12-11 |
Genre | Mathematics |
ISBN | 0387217363 |
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.