Publisher's Synopsis
A deluge of digital content is generated daily by web-based platforms and sensors that capture digital traces of communication and connection, and complex states of society, the economy, and the world. Emerging deep learning methods enable the integration and analysis of these complex data in order to address real world problems by designing and discovering successful solutions.
The real power of deep learning is unleashed by thinking with deep learning to reformulate and solve problems traditional machine learning methods cannot address. These include fusing diverse data like text, images, tabular and network data into integrated and comprehensive "digital doubles" of the scenarios you want to model, the generation of promising recommendations, and the creation of AI assistants that radically augment an analyst or system's intelligence. This book uses Python and the widely popular PyData ecosystem to demonstrate all motivating examples and includes working code, accompanying exercises, relevant datasets and additional analytics and visualization that facilitate interpretation, communication and decision making.
