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Hum Dono
Vijay & Dev were brothers. From Vijay's debut, they were inextricably wound in each film's creative process. They trusted each other implicitly, though they did have their own share of creative conflicts too. In an instance, Goldie's unease about a certain decision was echoed by Dev instinctively, in others they never saw eye to eye. The book explores what ticked for Goldie and Dev. How were creative differences resolved? How did the changing India reflect in their films? Was being brothers an advantage or a disadvantage for them? And finally, what was the unknown, the “X-factor” so to speak, which collided and coalesced between these two extraordinary people?
Doing Business 2019
Sixteenth in a series of annual reports comparing business regulation in 190 economies, Doing Business 2019 measures aspects of regulation affecting 10 areas of everyday business activity:•Starting a business•Dealing with construction permits•Getting electricity•Registering property•Getting credit•Protecting minority investors•Paying taxes•Trading across borders•Enforcing contracts•Resolving insolvencyThese areas are included in the distance to frontier score and ease of doing business ranking. Doing Business also measures features of labor market regulation, which is not included in these two measures. This edition also presents the findings of the pilot indicator entitl...
Mastering Predictive Analytics with R
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. This book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling. The book begins with a dedicated chapter on the language of models and the predictive modeling process. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real world data sets. By the end of this book, you will have explored and tested the most popular modeling techniques in use on real world data sets and mastered a diverse range of techniques in predictive analytics.
R: Predictive Analysis
Master the art of predictive modeling About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Familiarize yourself with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, Naive Bayes, decision trees, text mining and so on. We emphasize important concepts, such as the bias-variance trade-off and over-fitting, which are pervasive in predictive modeling Who This Book Is For If you work with data and want to become an expert in predictive analysis and modeling, then this Learning Path will serve you well. It is intended for budding and seasoned practitioners of predictive modeling alik...
Data Analysis with Stata
Explore the big data field and learn how to perform data analytics and predictive modelling in STATA About This Book Visualize and analyse data in STATA to devise a business strategy Learn STATA programming and predictive modeling Discover how you can become a data scientist with the power of STATA Who This Book Is For This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application. What You Will Learn Perform important statistical tests to become a STATA data scientist Be guided through ...
Government Gazette
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Rajasthan Gazette
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Essays on Indology
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South Asia Biographical Dictionary Index: L-Z
An index of names of persons who are described in various biographical dictionaries.
