Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and nonexpert readers in statistics, computer science, mathematics, and engineering.
This book discusses in detail the latest trends in sentiment analysis,focusing on “how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations.” Social networking has become essential in today’s society. In the past, people’s decisions to buy certain products (and companies’ efforts to sell them) were largely based on advertisements, surveys, focus groups, consultants, and the opinions of friends and relatives. But now this is no longer limited to one’s circle of friends, family or small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on. Though not always easy, the transition from surveys to social media is certainly lucrative. Business analytical reports have shown that many organizations have improved their sales, marketing and strategy, setting up new policies and making decisions based on opinion mining techniques.
India has the second largest number of Internet users in the world today. In response to this twenty-first century wave of rapid Internet growth and usage, journalism in India is now mainly digital. Challenging the existing forms of print legacies and old media networks are a number of digital media startups that have fuelled and radically altered consumption of information by providing different and innovative forms of content strategies and distribution strategies. These include profit-based content startups, aggregation-based startups, and non-profit startups. Digital First uses a longitudinal case study approach to analyze key digital media startups in the Indian journalism industry today: notably, The Print, The Wire, The Citizen, NewsLaundry, ScoopWhoop, PARI, InShorts, Youth ki Awaaz, Scroll.in, Khabar Lahariya, AltNews, The Logical Indian among others. These organizations represent different strategies, approaches, and ideologies. The book discusses ways in which these startups began, and have grown, their organizational structures and policies, and their varied business models.
Indian Media Giants is an analytical chronicle of six Indian mega media conglomerates' individual odyssey from their beginnings in the pre-independence era to their transformation into powerful business empires in the digitised modern India. The book traces media metamorphoses, contours of growth and development, travails and trajectories, organizational structures, editorial policies and business dynamics of print majors in India, namely, The Times Group, The Hindu Group, The Hindustan Times Limited, The Indian Express Group, Dainik Jagran Limited and DB Corp Limited.
This book discusses in detail the latest trends in sentiment analysis,focusing on “how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations.” Social networking has become essential in today’s society. In the past, people’s decisions to buy certain products (and companies’ efforts to sell them) were largely based on advertisements, surveys, focus groups, consultants, and the opinions of friends and relatives. But now this is no longer limited to one’s circle of friends, family or small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on. Though not always easy, the transition from surveys to social media is certainly lucrative. Business analytical reports have shown that many organizations have improved their sales, marketing and strategy, setting up new policies and making decisions based on opinion mining techniques.
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