Well-entrenched in Hinduism is the belief that God sometimes descends to earth as an avatar, the manifestation of a deity that has assumed human form for some divine purpose. We may also define an avatar as an incarnate divine teacher. Haidakhan Baba qualifies as an avatar on both counts. He appeared out of a cave in 1970 at the Haidakhan village, seemingly out of nowhere, and went on to touch and transform the lives of millions of devotees. As a teenager, Vijay Gupta spent some years with Haidakhan Baba as his closest disciple. Peppered with innumerable gripping, often funny and always meaningful anecdotes, this book is a detailed, personal account of Vijay Gupta's spiritual journey serving Haidakhan Baba. Tightly interwoven into the narrative, is his unwavering, unshaken bond with Babaji, to which he remained true, even when he was at odds with Him.
IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
IBM® Classification Module (Classification Module) Version 8.6 is an advanced enterprise software platform tool designed to allow organizations to automate the classification of unstructured content. By deploying the module in various areas of a business, organizations can reduce or avoid manual processes associated with subjective decision making around unstructured content. Organizations can also streamline the ingestion of that content into their business systems in order to use the information within the business systems more effectively. At the same time, the organizations can safely remove irrelevant or obsolete information and therefore utilize the storage infrastructure more efficiently. By reducing the human element in this process, Classification Module ensures accuracy and consistency and enables auditing while simultaneously driving down labor costs. This IBM Redbooks® publication explains what Classification Module does, the key concepts to understand when working with Classification Module, and its integration with other products and systems. With this book, we show you how Classification Module helps your organization to automate the classification of large volumes of unstructured content in a consistent and accurate manner. The topics that are covered include building, training, and fine-tuning the knowledge base, creating decision plans, working with Classification Workbench, and step-by-step integration with other products and solutions. This book is intended to educate both technical specialists and nontechnical personnel in how to make Classification Module work for your organizations.
This book is a valuable resource for Graduate students and researchers interested in current techniques and methods within the theory of moments in linear positive operators and approximation theory. Moments are essential to the convergence of a sequence of linear positive operators. Several methods are examined to determine moments including direct calculations, recurrence relations, and the application of hypergeometric series. A collection of operators in the theory of approximation are investigated through their moments and a variety of results are surveyed with fundamental theories and recent developments. Detailed examples are included to assist readers understand vital theories and potential applications.
The book explores the role conflict, stresses and disabilities of the females, areas of change in the administrative and legal spheres. It also asserts a connection between economic dependency and divorce.
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