The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years. While preserving its practical, modular structure, this edition significantly expands coverage of the techniques shaping modern AI practice.

The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years. While preserving its practical, modular structure, this edition significantly expands coverage of the techniques shaping modern AI practice.

Virtual machines have been critical software systems for decades and now platforms such as Apple iOS, Google Android, and Microsoft Windows Phone all need them as primary application execution engines. This book provides a systematic description that combines high-level design and low-level implementations and integrates advanced academic topics

This book provides detailed fundamental theoretical reviews and preparations necessary for developing advanced dynamics modeling and control strategies for various types of robotic systems. It also presents and discusses the principle of duality involved in robot kinematics, statics, and dynamics.

This book presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning.

The primary focus of the chapters is to explore utilization of various materials like conventional bulk materials, thin films, low dimensional materials, nanomaterials, quantum materials, for above-mentioned energy generation process.

This book provides an overview of the principles of green building and energy-efficient systems including benefits of green buildings, the different types of green building rating systems, and the various energy-efficient systems that can be used in buildings.