Further Resources
The field of artificial intelligence is vast and multifaceted, encompassing various domains covered in this book. As a result, acquiring knowledge in AI requires deep-diving into an array of different subjects, each one contributing to a more comprehensive understanding. This final chapter provides a general guide to learning resources and an overview of potential career paths.
Formal Education
The most obvious starting point for anyone interested in AI is formal education. Universities around the world offer courses dedicated to AI and related fields, including data science, machine learning, and computer science. Highly respected Master’s programs in machine learning are offered at Stanford, Berkeley, Carnegie Mellon, Columbia, University of Washington, and MIT. Other reputable institutes include Edinburgh, Duke, Michigan, University of Pennsylvania, Toronto, UCSD, Brown, UCL, Georgia Tech, Cambridge, Oxford, and Cornell. Carnegie Mellon...