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1. |
Record Nr. |
UNINA9910458725803321 |
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Autore |
Lendvai Paul <1929-> |
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Titolo |
One day that shook the Communist world [[electronic resource] ] : the 1956 Hungarian uprising and its legacy / / Paul Lendvai ; translated by Ann Major |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, c2008 |
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ISBN |
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1-282-96477-1 |
9786612964770 |
1-4008-3764-2 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (308 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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HISTORY / Europe / Austria & Hungary |
Electronic books. |
Hungary History Revolution, 1956 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Translated from the German. |
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Nota di bibliografia |
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Includes bibliographical references (p. [279]-284) and index. |
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Nota di contenuto |
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A day that shook the Communist world -- The road to revolution -- A night of cataclysmic decisions -- The legend of the corvinists -- Wrestling for the soul of Imre Nagy -- Deadlocked -- A turnaround with a question mark -- The general, the colonel, and the adjutant -- The dams are breaking -- The condottiere, the "Uncle," and the romantics -- Decision in the Kremlin: the end of patience -- Double dive into darkness -- The puppeteers and the Kádár Enigma -- Operation whirlwind and Kádár phantom government -- The Yugoslav-Soviet conspiracy -- The second revolution -- The moral bankruptcy of the U.S. liberation theory -- Worldwide reactions -- The barbarous vendetta of the victors -- 1956-1989: victory in defeat?. |
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Sommario/riassunto |
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On October 23, 1956, a popular uprising against Soviet rule swept through Hungary like a force of nature, only to be mercilessly crushed by Soviet tanks twelve days later. Only now, fifty years after those harrowing events, can the full story be told. This book is a powerful eyewitness account and a gripping history of the uprising in Hungary that heralded the future liberation of Eastern Europe. Paul Lendvai was a young journalist covering politics in Hungary when the uprising broke |
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out. He knew the government officials and revolutionaries involved. He was on the front lines of the student protests and the bloody street fights and he saw the revolutionary government smashed by the Red Army. In this riveting, deeply personal, and often irreverent book, Lendvai weaves his own experiences with in-depth reportage to unravel the complex chain of events leading up to and including the uprising, its brutal suppression, and its far-reaching political repercussions in Hungary and neighboring Eastern Bloc countries. He draws upon exclusive interviews with Russian and former KGB officials, survivors of the Soviet backlash, and relatives of those executed. He reveals new evidence from closed tribunals and documents kept secret in Soviet and Hungarian archives. Lendvai's breathtaking narrative shows how the uprising, while tragic, delivered a stunning blow to Communism that helped to ultimately bring about its demise. One Day That Shook the Communist World is the best account of these unprecedented events. |
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2. |
Record Nr. |
UNINA9910827463403321 |
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Autore |
Aitken C. G. G. |
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Titolo |
Statistics and the evaluation of evidence for forensic scientists / / Colin G G Aitken, Franco Taroni, Silvia Bozza |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , [2020] |
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©2020 |
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ISBN |
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1-119-24541-9 |
1-119-24525-7 |
1-119-24543-5 |
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Edizione |
[Third edition.] |
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Descrizione fisica |
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1 online resource (1,251 pages) |
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Disciplina |
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Soggetti |
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Forensic sciences - Statistical methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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"With the increase in the availability of data, the role of statistical and probabilistic reasoning is becoming ever more high profile, and courts |
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are increasingly aware of the importance of the proper assessment of evidence in which there is random variation. Statistical techniques allow the forensic scientist to evaluate and interpret evidence where there is an element of uncertainty. Since its first publication in 1995, this highly regarded book has been considered as the leading text in statistical evaluation of forensic evidence. Bringing together authors from the fields of both statistics and forensic science, all international experts in the evaluation and interpretation of evidence, the third edition will be fully revised and updated to reflect the latest research and developments in this field."-- |
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3. |
Record Nr. |
UNINA9910819363203321 |
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Autore |
Kozlov Alex |
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Titolo |
Mastering Scala machine learning : advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop / / Alex Kozlov |
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Pubbl/distr/stampa |
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Birmingham : , : Packt Publishing, , 2016 |
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ISBN |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (310 pages) : color illustrations |
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Collana |
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Community experience distilled |
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Disciplina |
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Soggetti |
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Scala (Computer program language) |
Machine learning |
Electronic data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future |
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scalability and maintainability Who This Book Is For Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required. What You Will Learn Sharpen your functional programming skills in Scala using REPL Apply standard and advanced machine learning techniques using Scala Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex... |
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