The potential of AI to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics.
This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.
At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines.
Supports the teaching and learning of research methods and skills through structured online learning that is self-paced and led by an expert. Topics include: cleaning data, conducting interviews, Python, research design, literature reviews, AI, getting published, etc...