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Deep Learning with TensorFlow 2 and Keras
Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook Description Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machin...
Time and Again
This volume is a collection of papers that highlights some recurring themes that have surfaced in the generative tradition in linguistics over the past 40 years. The volume is more than a historical take on a theoretical tradition; rather, it is also a "compass" pointing to exciting new empirical directions inspired by generative theory. In fact, the papers show a progression from core theoretical concerns to data-driven experimental investigation and can be divided roughly into two categories: those that follow a syntactic and theoretical course, and those that follow an experimental or applied path. Many of the papers revisit long-standing or recurring themes in the generative tradition, some of which seek experimental validation or refutation. The merger of theoretical and experimental concerns makes this volume stand out, but it is also forward looking in that it addresses the recent concerns of the creation and consumption of data across the discipline.
Reimagine Pharma Marketing
The empowered patients, new-age technologies such as artificial intelligence (AI), machine learning (ML), big data analytics, real-world data and evidence, blockchain, electronic health records (EHRs), digital therapeutics, cloud computing, and innovative marketing frameworks like design thinking, customer journey mapping, omnichannel, closed-loop marketing, personalization and agile ways of working are transforming the way healthcare is delivered, affecting the pharmaceutical industry. Additionally, big tech companies such as Amazon, Alphabet, Apple, and Microsoft are disrupting by offering non-pharmacological solutions with innovative digital technologies to provide a seamless customer exp...
Advances in Information Retrieval
This book constitutes the proceedings of the 36th European Conference on IR Research, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014. The 33 full papers, 50 poster papers and 15 demonstrations presented in this volume were carefully reviewed and selected from 288 submissions. The papers are organized in the following topical sections: evaluation, recommendation, optimization, semantics, aggregation, queries, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations.
Handbook of Research on Intelligent Data Processing and Information Security Systems
Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to dat...
Digital Libraries on the Move
This book constitutes the thoroughly refereed proceedings of the 11th Italian Research Conference on Digital Libraries, IRCDL 2015, held in Bozen-Bolzano, Italy, in January 2015. The 13 full papers, 4 short papers and 2 invited poster papers presented were carefully selected from 19 submissions. They are organized under the following five categories: semantic modeling; projects; models and applications; content analysis; and digital libraries infrastructures. The papers deal with numerous multidisciplinary aspects ranging from computer science to humanities in the broader sense, including research areas such as archival and library information sciences; information management systems; semantic technologies; information retrieval; new knowledge environments; new organizational/business models.
Advances in Information Retrieval
This book constitutes the proceedings of the 35th European Conference on IR Research, ECIR 2013, held in Moscow, Russia, in March 2013. The 55 full papers, 38 poster papers and 10 demonstrations presented in this volume were carefully reviewed and selected from 287 submissions. The papers are organized in the following topical sections: user aspects; multimedia and cross-media IR; data mining; IR theory and formal models; IR system architectures; classification; Web; event detection; temporal IR, and microblog search. Also included are 4 tutorial and 2 workshop presentations.
Introduction to Metadata
Metadata provides a means of indexing, accessing, preserving, and discovering digital resources. The volume of digital information available over electronic networks has created a pressing need for standards that assist in locating, retrieving, and managing this vast and complex universe. This revised edition of "Introduction to Metadata," first published in 1998 and updated in an online version in 2000, provides an overview of metadata--its types, roles, and characteristics; a discussion of metadata as it relates to Web resources; a description of methods, tools, standards, and protocols for publishing and disseminating digital collections; and a handy glossary. Newly added to this edition are an essay on the importance of standards-based rights metadata for cultural institutions; and a section entitled "Practical Principles for Metadata Creation and Maintenance."
Deep Learning with Keras
Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A practical, hands-on guide with real-world examples to give you a strong foundation in Keras Who This Book Is For If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book. What You Will Learn Optimize step-by-step...
Algorithms and Models for the Web-Graph
This book constitutes the refereed proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph, WAW 2009, held in Barcelona, Spain, in February 2009 - co-located with WSDM 2009, the Second ACM International Conference on Web Search and Data Mining. The 14 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address a wide variety of topics related to the study of the Web-graph such as theoretical and empirical analysis of the Web graph and Web 2.0 graphs, random walks on the Web and Web 2.0 graphs and their applications, and design and performance evaluation of the algorithms for social networks. The workshop papers have been naturally clustered in three topical sections on graph models for complex networks, pagerank and Web graph, and social networks and search.
