Manish Gupta

Do you shy away from situations that require you to speak in English? Do you wish to command an army of words at a moment’s notice? Filled with innovative and practical learning devices, this book is a comprehensive guide to mastering the art of reading, writing and speaking English. As a learner who has spent many years navigating the treacherous slopes of the language, Manish Gupta understands the challenges faced by an Indian learner. He recounts his own struggles and narrates his interactions with people to outline tips and tricks to improve vocabulary, pronunciation and spoken English.

A Practical Guide to Speaking Fluent English

Let's Talk in English

Jonathan H. Chan

Jitendra Agrawal

Shikha Agrawal

Kamlesh Kumar Gupta

This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during September 24–25, 2020, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.

Proceedings of MISS 2020

Machine Intelligence and Smart Systems

This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.

Proceedings of MISS 2021

English Bites! My Fullproof English Learning Formula is the story of a man who goes from being tongue-tied in school to becoming a smooth-talking banker. Through a series of hilarious personal adventures and misadventures, Manish Gupta provides easy solutions to problems faced by language learners. So, whether you’re a vernacular speaker, a GRE/GMAT/CAT/XAT aspirant or just a language nut, English Bites! will expand your vocabulary and improve your verbal ability. It may even help you love the English language a little more! • Add over 1000 new words to your vocabulary and figure out easy and effective ways to expand your word bank. • Combine etymology, mnemonics, jokes and anecdotes to better your understanding of the English language. • Differentiate between similar sounding words and learn to use them right. • Improve your general knowledge with trivia that spans brand names, automobiles, fine dining, love, money, banks, science and B-school jargon.

English Bites

Pratyush Banerjee

Jatin Pandey

A comprehensive introduction to the know-how of HR analytics and its role in optimizing HR decision-making and driving organizational performance. In today’s technology-driven world, HR analytics is pivotal to measure, express and take focused HR decisions. Practical Applications of HR Analytics equips readers with the required tools and techniques to effectively identify, capture and utilize the vast amount of available data in making better informed business decisions. The text is lucid and packed with practical illustrative examples, hands-on exercises and datasets. It is an invaluable resource for management students and HR professionals who want to translate the benefits of HR analytics into practice, thus paving the way for evidence-based human resource management. Key Features: • Practical understanding of a range of open-source statistical GUI software. • Focus on both descriptive and predictive analytics in HR. • Chapter opening vignettes, industry examples and real-world case studies on application of HR analytics in organizations. • Supplementary exercises and soft copy of datasets provided on Google Drive Link to facilitate hands-on training.

A Step-by-Step Guide

Practical Applications of HR Analytics

Jiawei Han

Jing Gao

Charu Aggarwal

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neural networks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers.

Outlier Detection for Temporal Data

Samuel P. Midkiff

Jose E. Moreira

Siddhartha Chatterjee

Jeanne Ferrante

Jan Prins

William Pugh

Chau-Wen Tseng

This book constitutes the thoroughly refereed post-proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2000, held in Yorktown Heights, NY, USA, in August 2000. The 22 revised full papers presented together with 5 posters were carefully selected during two rounds of reviewing and improvement. All current aspects of parallel processing are addressed with emphasis on issues in optimizing compilers, languages, and software environments in high-performance computing.

13th International Workshop, LCPC 2000, Yorktown Heights, NY, USA, August 10-12, 2000, Revised Papers

Languages and Compilers for Parallel Computing

Manish Gupta

About

Books

Join the club