This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition-as well as some we don´t yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as ´´Big Data´´ has gotten bigger, the theory of machine learning-the foundation of efforts to process that data into knowledge-has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.
Gain hands-on experience with SPARQL, the RDF query language that?s bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open source software, you?ll learn how to update, add to, and delete data in RDF datasets. * Get the big picture on RDF, linked data, and the semantic web * Use SPARQL to find bad data and create new data from existing data * Use datatype metadata and functions in your queries * Learn techniques and tools to help your queries run more efficiently * Use RDF Schemas and OWL ontologies to extend the power of your queries * Discover the roles that SPARQL can play in your applications
Agile revolutionized the way people think about developing software, but there are literally dozens of ways that you can ´´go agile.´´ While one team may find a particular agile practice easy to use, another team may find the same practice devilishly difficult. This book demystifies agile methodologies: why they´re designed the way they are, what problems they address, and the values, principles, and ideas they embody. Learning Agile helps you recognize the principles that apply to development problems specific to your team, company, and projects. You´ll discover how to use that information to guide your choice of methodologies and practices. With this book you´ll learn: Values that effective software teams possess The methodologies that embody those values The practices that make up those methodologies And principles that help you bring those values, methodologies, and practices to your team and your company
Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field´s intellectual foundations to the most recent developments and applications.