Mobile applications development with android technologies and algorithms pdf
Developing Android Apps | UdacityBuild a cloud-connected Android app, and learn the tools, principles, and best practices of mobile and Android development that you'll apply to your own projects. As the first course in the Android Developer Nanodegree , Developing Android Apps is the foundation of our advanced Android curriculum. This course blends theory and practice to help you build great apps the right way. In this course, you'll work with instructors step-by-step to build a cloud-connected Android app, and learn best practices of mobile development, and Android development in particular. Back to Menu.
Developing Android Apps
Machine learning ML is a programming technique that provides your apps the ability to automatically learn and improve from experience without being explicitly programmed to do so. This is especially well-suited for apps that utilize unstructured data such as images and text, or problems with large number of parameters such as predicting the winning sports team. Android supports a wide variety of machine learning tools and methods. Lose It! It helps you lose weight by logging all the food you eat so you know how many calories you have consumed. PlantVillage helps farmers detect diseases in Cassava Plants. Penn State University and the International Institute of Tropical Agriculture uses their custom TensorFlow models running offline on mobile devices to help farmers detect early sign of plant diseases.