Logical Reasoning and Data Interpretation for the CAT

Logical Reasoning and Data Interpretation for the CAT
Author: Nishit K Sinha
Publisher: Pearson Education India
Total Pages: 655
Release: 2016
Genre:
ISBN: 9332576416

This book over the years has proved to be a great architect in shaping student's ability to master Logical Reasoning and Data Interpretation for CAT examination. The fifth edition covers all the fundamental and advanced topics, supported by ample number of worked out examples, caselets, and exercises . It also provides clarity and knowledge of the concepts and questions that are asked in various MBA entrance examinations such as XAT, SNAP, IIFT, IRMA, MAT, NMAT, etc.

The Pearson Guide to Verbal Ability and Logical Reasoning for the CAT:

The Pearson Guide to Verbal Ability and Logical Reasoning for the CAT:
Author: Nishit K. Sinha
Publisher: Pearson Education India
Total Pages: 608
Release: 2012
Genre:
ISBN: 8131799565

The Pearson Guide to Verbal Ability and Logical Reasoning for the CAT provides balanced coverage of both verbal ability and logical reasoning. The book also includes invaluable methods and hints that will fine-tune the interpretative and problem-solving skills of the readers. A careful study of this comprehensive manual will go a long way in preparing a student, not only for the CAT but also for their career.

The Pearson Guide to Quantitative Aptitude for CAT 2/e

The Pearson Guide to Quantitative Aptitude for CAT 2/e
Author: Sinha
Publisher: Pearson Education India
Total Pages: 624
Release: 2010
Genre:
ISBN: 9788131723661

The Pearson Guide to Quantitative Aptitude for CAT 2/e has everything you need to secure a top score in the quantitative aptitude papers of the CAT and other MBA entrance examinations. Written in a student-friendly style, this book explains concepts in a concise manner and includes numerous examples and worked-out problems. It also contains ample practice problems, scientifically designed and arranged in four levels (in an increasing order of difficulty). The text also contains a chapter on Vedic mathematics, which provides unique time-saving and easy techniques for complex calculations.

Koncepts of LR - Logical Reasoning for CAT & Other MBA Exams 3rd Edition

Koncepts of LR - Logical Reasoning for CAT & Other MBA Exams 3rd Edition
Author: Gajendra Kumar
Publisher: Disha Publications
Total Pages: 429
Release: 2019-06-03
Genre:
ISBN: 9388919130

The 3rd edition of the revised & updated book “Koncepts of LR - Logical Reasoning for CAT & Other MBA Exams” is the benchmark in the learning process for Logical Reasoning. The book is the result of an extensive analysis of the past year exams papers. It now incorporates CAT questions from the past 20 years and 8 years of IIFT, & XAT questions. The book introduces Critical Reasoning for the first time. The books major focus is on Problem Solving Caselets and it provides numerous examples, past questions and practice caselets. The entire book has been divided into 21 chapters which provide conceptual inputs along with Solved Examples followed by Exercises in 5 difficulty levels viz. Concept Applicator, Concept Builder, Concept Cracker, Concept Deviator and Data Sufficiency, with detailed solutions. The Author has taken the onus of formulating questions on his own with his expertise in the domain. The result being, more than 1600+ questions incorporated in the book each with detailed solution, a feature not available anywhere otherwise. This book serves the purpose for all the aptitude test takers looking to crack exams like CAT, XAT, SNAP, IIFT & other MBA exams.

The Book of R

The Book of R
Author: Tilman M. Davies
Publisher: No Starch Press
Total Pages: 833
Release: 2016-07-16
Genre: Computers
ISBN: 1593276516

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.

Interpretable Machine Learning

Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
Total Pages: 320
Release: 2020
Genre: Computers
ISBN: 0244768528

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.