In Search Of Lost Books
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In Search of Lost Books
The gripping and elegiac stories of eight lost books, and the mysterious circumstances behind their disappearances. They exist as a rumour or a fading memory. They vanished from history leaving scarcely a trace, lost to fire, censorship, theft, war or deliberate destruction, yet those who seek them are convinced they will find them. This is the story of one man's quest for eight mysterious lost books. Taking us from Florence to Regency London, the Russian Steppe to British Columbia, Giorgio van Straten unearths stories of infamy and tragedy, glimmers of hope and bitter twists of fate. There are, among others, the rediscovered masterpiece that he read but failed to save from destruction; the Hemingway novel that vanished in a suitcase at the Gare du Lyon; the memoirs of Lord Byron, burnt to avoid a scandal; the Magnum Opus of Bruno Schulz, disappeared along with its author in wartime Poland; the mythical Sylvia Plath novel that may one day become reality. As gripping as a detective novel, as moving as an elegy, this is the tale of a love affair with the impossible, of the things that slip away from us but which, sometimes, live again in the stories we tell.
In Search of Lost Books
The gripping and elegiac stories of eight lost books, and the mysterious circumstances behind their disappearances They exist as a rumour or a fading memory. They vanished from history leaving scarcely a trace, lost to fire, censorship, theft, war or deliberate destruction. Yet those who seek them are convinced they will find them. This is the story of one man's quest for eight mysterious lost books. Taking us from Florence to Regency London, the Russian Steppe to British Columbia, Giorgio van Straten unearths stories of infamy and tragedy, glimmersof hope and bitter twists of fate. There are, among others, the rediscovered masterpiece that he read but failed to save from destruction; the Hemingway novel that vanished in a suitcase at the Gare de Lyon; the memoirs of Lord Byron, burnt to avoid a scandal; the Magnum Opus of Bruno Schulz, disappeared along with its author in wartime Poland; the mythical Sylvia Plath novel that may one day become reality. As gripping as a detective novel, as moving as an elegy, this is the tale of a love affair with the impossible, of the things that slip away from us but which, sometimes, live again in the stories we tell. Giorgio van Straten is director of the Italian Cultural Institute of New York and one of the editors of the literature review Nuovi Argomenti. He is the author of several novels, including the prize-winning My Name a Living Memory, along with two collections of short stories. He has translated the works of authors such as Kipling, London and Stevenson and has edited several works of non-fiction.
Practical Machine Learning with Spark
Explore the cosmic secrets of Distributed Processing for Deep Learning applications KEY FEATURES ● In-depth practical demonstration of ML/DL concepts using Distributed Framework. ● Covers graphical illustrations and visual explanations for ML/DL pipelines. ● Includes live codebase for each of NLP, computer vision and machine learning applications. DESCRIPTION This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark. The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes. Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language WHAT YOU WILL LEARN ●Learn how to get started with machine learning projects using Spark. ● Witness how to use Spark MLib's design for machine learning and deep learning operations. ● Use Spark in tasks involving NLP, unsupervised learning, and computer vision. ● Experiment with Spark in a cloud environment and with AI pipeline workflows. ● Run deep learning applications on a distributed network. WHO THIS BOOK IS FOR This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Apache Spark Environment Setup and Configuration 3. Apache Spark 4. Apache Spark MLlib 5. Supervised Learning with Spark 6. Un-Supervised Learning with Apache Spark 7. Natural Language Processing with Apache Spark 8. Recommendation Engine with Distributed Framework 9. Deep Learning with Spark 10. Computer Vision with Apache Spark