Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with JavaKey Features[*] Go beyond the theory and put Deep Learning into practice with Java[*]Find out how to build a range of Deep Learning algorithms using a range of leading frameworks including DL4J, Theano and Caffe[*] Whether you're a data scientist or Java developer, dive in and find out how to tackle Deep LearningBook DescriptionAI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago.
Die einschlägige, kompakte Einführung in die Thematik des OS/390 für Einsteiger in die OS/390-Welt und für alle, die bereits mit Großrechnern zu tun haben und sich jetzt mit modernsten Mainframe-Internet-Technologien vertraut machen wollen.
This book constitutes the thoroughly refereed proceedings of the Researcher Links Workshop: Higher Education for All, held in Maceio, Brazil, in March 2017.
This book constitutes the refereed proceedings of the 6th Iberoamerican Conference on Applications and Usability of Interactive Television, jAUTI 2017, in Aveiro, Portugal, in October 2017.
This book stems from the desire to systematize and put down on paper essential historical facts about the Web, a system that has undoubtedly changed our lives in just a few decades.
Advanced ActionScript 3 is a fresh look and new approach to utilizing valuable, structural techniques and methods that are commonly used in the field of rich interactive application development.
This book constitutes the refereed proceedings of the 5th Iberoamerican Conference on Applications and Usability of Interactive TV , jAUTI 2016, held in conjunction with the III International Congress on Information Engineering and Information Systems, in La Habana, Cuba, in November 2016.
This book stems from the desire to systematize and put down on paper essential historical facts about the Web, a system that has undoubtedly changed our lives in just a few decades.
Unlock the power of Python in ArcGIS(R) Pro with this definitive, easy-to-follow guide designed for users with limited programming or scripting experience.
Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains.
Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded.
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications.
In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying.
The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug'---is under question, as relatively few drugs have reached the market in the last two decades.
The World Wide Web is now deeply intertwined with our lives, and has become a catalyst for a data deluge, making vast amounts of data available online, at a click of a button.
The surge of interest in the REpresentational State Transfer (REST) architectural style, the Semantic Web, and Linked Data has resulted in the development of innovative, flexible, and powerful systems that embrace one or more of these compatible technologies.
After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies.
The past ten years have seen a rapid growth in the numbers of people signing up to use Web-based social networks (hundreds of millions of new members are now joining the main services each year) with a large amount of content being shared on these networks (tens of billions of content items are shared each month).
The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones.
