Logical Reasoning and Data Interpretation for the CAT
Logical Reasoning and Data Interpretation for the CAT

Author: Nishit K Sinha

Publisher: Pearson Education India

Published: 2016

Total Pages: 655

ISBN-13: 9332576416

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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.

Fundamentals of Logic and Computation
Fundamentals of Logic and Computation

Author: Zhe Hou

Publisher: Springer Nature

Published: 2021-12-03

Total Pages: 225

ISBN-13: 3030878821

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This textbook aims to help the reader develop an in-depth understanding of logical reasoning and gain knowledge of the theory of computation. The book combines theoretical teaching and practical exercises; the latter is realised in Isabelle/HOL, a modern theorem prover, and PAT, an industry-scale model checker. I also give entry-level tutorials on the two software to help the reader get started. By the end of the book, the reader should be proficient in both software. Content-wise, this book focuses on the syntax, semantics and proof theory of various logics; automata theory, formal languages, computability and complexity. The final chapter closes the gap with a discussion on the insight that links logic with computation. This book is written for a high-level undergraduate course or a Master's course. The hybrid skill set of practical theorem proving and model checking should be helpful for the future of readers should they pursue a research career or engineering in formal methods.

Comprehensive Guide to IBPS Bank PO/ MT Preliminary & Main Exam (6th Edition)
Comprehensive Guide to IBPS Bank PO/ MT Preliminary & Main Exam (6th Edition)

Author: Disha Experts

Publisher: Disha Publications

Published: 2017-10-07

Total Pages: 905

ISBN-13: 9386323419

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• The thoroughly revised & updated 6th edition of "Comprehensive Guide to IBPS-CWE Bank PO Exam" has been designed specially for the CWE Bank PO stage 1 & 2 of the exam. • A chapter on Sentence Exclusion has been introduced as asked in the 2016 PO Mains Exam. • The book covers all the sections of the Preliminary & Main PO exam - English Language, Quantitative Aptitude, Reasoning Ability, Computer Aptitude, and Banking Knowledge & General Awareness. • The book provides well illustrated theory with exhaustive fully solved examples for learning. This is followed with an exhaustive collection of solved questions in the form of Exercise. • The book incorporates fully solved 2012, 2013, 2014, 2015 & 2016 IBPS PO question papers with solutions of Descriptive Test. • The Current Affairs section has been updated with the latest questions so as to provide an updated book to the aspirants.

Logical Reasoning
Logical Reasoning

Author: Bradley Harris Dowden

Publisher: Bradley Dowden

Published: 1993

Total Pages: 516

ISBN-13: 9780534176884

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This book is designed to engage students' interest and promote their writing abilities while teaching them to think critically and creatively. Dowden takes an activist stance on critical thinking, asking students to create and revise arguments rather than simply recognizing and criticizing them. His book emphasizes inductive reasoning and the analysis of individual claims in the beginning, leaving deductive arguments for consideration later in the course.

Foundations of Data Science
Foundations of Data Science

Author: Avrim Blum

Publisher: Cambridge University Press

Published: 2020-01-23

Total Pages: 433

ISBN-13: 1108617360

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.