An itinerary [[electronic resource] /] / vvritten by Fynes Moryson Gent. First in the Latine tongue, and then translated by him into English: containing his ten yeeres trauell through the tvvelue dominions of Germany, Bohmerland, Sweitzerland, Netherland, Denmarke, Poland, Jtaly, Turky, France, England, Scotland, and Ireland. Diuided into III parts. The I. part. Containeth a iournall through all the said twelue dominions: shewing particularly the number of miles, the soyle of the country, the situation of cities, the descriptions of them, with all monuments in each place worth the seeing, as also the rates of hiring coaches or horses from place to place, with each daies expences for diet, horse-meate, and the like. The II. part. Containeth the rebellion of Hugh, Earle of Tyrone, and the appeasing thereof: written also in forme of a iournall. The III. part. Containeth a discourse vpon seuerall heads, through all the said seuerall dominions

• Record Nr.: UNISA996391774603316
• Autore: Moryson Fynes <1566-1630.>
• Pubbl/distr/stampa: At London, : Printed by Iohn Beale, dwelling in Aldersgate street, 1617
• Descrizione fisica: [16], 84, 83-106, 109-295, [1], 301, [1], 292, [2] p. : ill. (woodcuts)
• Soggetti: Tyrone's Rebellion, 1597-1603; Europe Description and travel 17th-18th centuries Early works to 1800
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Two-page title, [par.]2v and [par.]3r.; The first leaf is blank except for signature-mark "[par.]"; the last leaf is blank.; In three parts, each with separate pagination; register is continuous.; The contents of the parts on the second page of title is printed in roman. Variant: second page of title is a cancel, with the description of parts in italic.; Reproduction of the original in the British Library.; Imperfect: first part of title, leaf [par.]2 lacking.
• Sommario/riassunto: eebo-0018

Machine Learning : Advanced Techniques and Emerging Applications / / edited by Hamed Farhadi

• Record Nr.: UNINA9910317790103321
• Autore: Hamed Farhadi
• Pubbl/distr/stampa: IntechOpen, 2018; London, England : , : IntechOpen, , 2018
• ISBN: 1-83881-418-3; 1-78923-753-X
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (230 pages)
• Disciplina: 006.31
• Soggetti: Machine learning
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in ; different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.