20 Years Chapter Wise Topic Wise Gate Computer Science Information Technology Solved Papers 2019 2000 With 4 Online Practice Sets 6th Edition
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20 years Chapter-wise & Topic-wise GATE Computer Science & Information Technology Solved Papers (2019 - 2000) with 4 Online Practice Sets 6th Edition
20 years GATE Computer Science & Information Technology Chapter-wise & Topic-wise Solved Papers (2019 - 2000) is the 6th fully revised & updated edition covering fully solved past 20 years question papers (all sets totalling to 24 papers) from the year 2019 to the year 2000. The chapters are further converted into topics. The order of questions is in the reverse order from 2019-2000. The book has 3 sections - General Aptitude, Engineering Mathematics and Technical Section. Each section has been divided into chapters which are further divided into Topics. Each chapter has 3 parts - Quick Revision Material, Past questions and the Solutions. The Quick Revision Material list the main points and the formulas of the chapter which will help the students in revising the chapter quickly. The questions are followed by detailed solutions to each and every question. In all the book contains 1900+ MILESTONE questions for GATE CSIT.
GATE Computer Science and Information Technology
Author: Trishna Knowledge Systems
language: en
Publisher: Pearson Education India
Release Date:
This book has been prepared by a group of faculties who are highly experienced in training GATE candidates and are also subject matter experts. As a result this book would serve as a one-stop solution for any GATE aspirant to crack the examination. the book is divided into three parts covering, (1) General Aptitude, (2) Engineering Mathematics and (3) Computer Science and Information Technology. Coverage is as per the syllabus prescribed for GATE and topics are handled in a comprehensive manner beginning from the basics and progressing in a step-by-step manner supported by ample number of solved and unsolved problems. Extra care has been taken to present the content in a modular and systematic manner to facilitate easy understanding of all topics.
All of Statistics
Author: Larry Wasserman
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-12-11
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.