Artificial Intelligence Machine Learning

Neuroscientist Explains Brain and AI: How the Brain and AI Learn Via Deep Learning is a captivating exploration of the groundbreaking field of deep learning, presented from both the perspective of human brain function and the rapidly advancing world of artificial intelligence. Author Dr. Tursun Alkam, a neuroscientist with over two decades of experience, guides listeners through the intricacies of neural networks and hierarchical learning, using relatable analogies and real-world examples to make complex concepts accessible to teen and young adult listeners.

This course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods.

This book aims to explore the characteristics, scope, and potential of artificial intelligence (AI) chatbot use in educational settings. It considers ChatGPT as an assistive tool in pedagogy and provides educator guides and exemplars showing how AI chatbots can be used for specific subjects/topics/projects. In such a fast-changing technological field it reviews a few AI chatbots available for educational use at this point. At best it provides some insights on the challenges and limitations of the use of AI chatbots in educational settings.