• Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
• Implement CNN models on image classification, transfer learning, Object Detection,...

• A go-to guide to help you master AI algorithms and concepts
• 8 real-world projects tackling different challenges in healthcare, e-commerce, and...

• Gain real-world contextualization using deep learning problems concerning research and application
• Get to know the best practices to improve and optimize your machine...

• Design and create neural network architectures on different domains using Keras
• Integrate neural network models in your applications using this highly practical...

• Implement AI techniques to build smart applications using Deeplearning4j
• Perform big data analytics to derive quality insights using Spark MLlib
• Create self-learning systems using...

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

The ability to analyze massive amounts of real-time data and predict...

The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To...

This book, part of the European Society of Intensive Care Medicine textbook series,  provides detailed up-to-date information on the physical, cognitive, and psychological impairments that are frequently present following a stay in an intensive care unit and examines in depth the available preventive and therapeutic strategies,...

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making...