Practical Machine Learning
About This Book
Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
Comprehensive practical solutions taking you into the future of machine learning
Go a step further and integrate your machine learning projects with
Semantic Web Programming The next major advance in the Web?Web 3.0?will be built on semantic Web technologies, which will allow data to be shared and reused across application, enterprise, and community boundaries. Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the... Towards the Semantic Web: Ontology-Driven Knowledge Management Generating huge interest and backed by the global WorldWideWeb consortium the semantic web is the key initiative driving the future of the World Wide Web. Towards the Semantic Web focuses on the application of Semantic Web technology and ontologies in particular to electronically available information to improve the quality of knowledge management... Semantic Web Technologies: Trends and Research in Ontology-based Systems The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data-centric, customizable XML (eXtensible Mark-up Language) to provide descriptions of the content of Web documents. These machine-interpretable descriptions allow more intelligent software systems to be written,...
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