Natural Reader

By by Mohammad Taher Pilehvar (Author), Jose Camacho-Collados (Author)
Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP)

Although the capabilities of computer image analysis do not yet match those of the human visual system, recent developments have made great progress towards tackling the challenges posed by the perceptual analysis of images.

This book covers a wide range of issues related to the Thar Desert Region of Rajasthan from an integrated and sustainable development perspective. The chapters in this book cover regional and local issues which are discussed with reference to the past scenario, the present practices, and the future strategies. Some of the issues addressed in this book like arid agroforestry, livelihood, and multidimensional development give it a cutting edge over other related publications currently available in the market. The chapters are supported with relevant pictures which will help the reader to connect with the issues being discussed. This book is useful to students, civil services aspirants, researchers, environmentalists, geographers, and non-professionals who are interested in deserts and desert development.

One-stop solution for NLP practitioners, ML developers and data scientists to build effective NLP systems that can perform real-world complicated tasks

Although Herman Melville's Moby-Dick is beloved as one of the most profound and enduring works of American fiction, we rarely consider it a work of nature writing—or even a novel of the sea. Yet Pulitzer Prize–winning author Annie Dillard avers Moby-Dick is the "best book ever written about nature," and nearly the entirety of the story is set on the waves, with scarcely a whiff of land. In fact, Ishmael's sea yarn is in conversation with the nature writing of Emerson and Thoreau, and Melville himself did much more than live for a year in a cabin beside a pond. He set sail: to the far remote Pacific Ocean, spending more than three years at sea before writing his masterpiece in 1851.

The author introduces the reader to the creation and implementation of space-related models by applying a learning-by-doing and problem-oriented approach. The required procedural skills are rarely taught at universities and many scientists and engineers struggle to transfer a model into a computer program. The purpose of this book is to fill this gap. It moves from simple to more complex applications, covering various important topics in the sequence: dynamic matrix processing, 2D and 3D graphics, databases, Java applets and parallel computing.