Exploring Cultural Value presents ground breaking new research on the use of the cultural value lens to explain and investigate those areas of society where art and culture can have an impact or add value, beyond economic measures. The book develops and advances existing concepts around cultural value, and thus provides a deeper understanding of the impacts and value of the arts and cultural sectors. Contributions bridge academic disciplines and the current discourse of policy-makers, with sections exploring ways of thinking about cultural value, current developments in the field, and challenges for the future. Key themes illustrated throughout include alternative conceptual frameworks of cultural value, national/regional/urban perspectives, evidence from practice, and discussion of how the challenges facing the sectors can be addressed. Exploring Cultural Value combines academic research, case studies, and practitioner perspectives, making a robust and accessible contribution grounded in real world practice. It is a crucial resource for academics, practitioners and policy makers with an interest in the arts, and provides valuable insights into a facet of human endeavour all of us believe to be vital to society.

Choose the best approach for your app and implement your solution quickly by leveraging complete projects. This book is a collection of practical projects that use advanced Android techniques and approaches, written by Android instructor Mark Wickham. Mark has taught a series of popular classes at Android development conferences since 2013 and Practical Android covers content from his most popular classes. Each chapter covers an important concept and provides you with a deep dive into the implementation. The book is an ideal resource for developers who have some development experience, but may not be Android or mobile development experts. Each chapter includes at least one complete project to show the reader how to implement the concepts. What You'll Learn Apply JSON in Android Work with connectivity, which covers all aspects of HTTP in Android Determine if your server is reachable Use lazy loading, a common pattern for most apps and which is not trivial to implement Take advantage of remote crashlogs to implement a solution for your apps so you know when they crash and can provide timely fixes Implement push messaging to take your app to the next level Develop with Android Audio, which provides complete coverage of all the Android audio APIs and synthesis engines Who This Book Is For Those with prior experience with using Android and have a strong Java background.

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services. Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data. After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java. What You Will Learn Identify, organize, and architect the data required for ML projects Deploy ML solutions in conjunction with cloud providers such as Google and Amazon Determine which algorithm is the most appropriate for a specific ML problem Implement Java ML solutions on Android mobile devices Create Java ML solutions to work with sensor data Build Java streaming based solutions Who This Book Is For Experienced Java developers who have not implemented machine learning techniques before.