Artificial Intelligence Essentials

The goal of AI Essentials is to educate readers with the basic ideas, mathematical foundations, and ethical implications of artificial intelligence. The fundamentals, scope, development, and practical applications of artificial intelligence (AI) as well as its subfields, such as machine learning, deep learning, natural language processing (NLP), and computer vision, are all covered in this book. Additionally, it offers insights into the fundamental mathematical ideas that underpin AI, such as Calculus, Probability, Linear Algebra, and Graph Theory, which serve as the foundation for AI algorithms. In addition to examining the machine learning and deep learning architectures, this book additionally examines at the ethical ramifications of artificial intelligence, including issues of accountability, privacy, justice, and bias.