Machine Learning for Everyone: From Basics to Intelligent Systems

Arshad Khan is an analytics and artificial intelligence professional with over four decades of experience spanning consulting, corporate leadership, and education. He has worked with or advised leading organizations including Accenture, PwC, Deloitte, Chevron, Bose Corporation, Chrysler, Genentech, PepsiCo, Hitachi-America, and numerous other Fortune 500 companies.

Mr. Khan served as Program Manager for a major AI initiative in Silicon Valley, where he led efforts to design and implement advanced data and machine learning solutions. This hands-on leadership role deepened his expertise in AI strategy, deployment, and governance.

A prolific author, he has written twenty books, including seven on business intelligence and analytics and three on artificial intelligence. His publications are widely used by professionals and students for their clarity, practical focus, and depth of insight.

As an adjunct professor for more than 35 years, Mr. Khan has taught data visualization, analytics, and artificial intelligence at ten universities, including Golden Gate University, Santa Clara University, and the University of California extensions at Berkeley, Santa Cruz, and San Diego.

He holds a graduate degree in chemical engineering and an MBA, combining technical rigor with business acumen. Throughout his career, Mr. Khan has bridged the worlds of technology, education, and applied analytics—helping organizations and individuals harness the power of data and AI responsibly and effectively.