Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically, 1e (eBook) Edition_35 energy methods and virtual work

energy methods and virtual work set the stage for discussions of airworthiness/airframe loads and stress analysis of aircraft components

Overview: For undergraduate and graduate courses in entrepreneurship This book is for the future entrepreneur who wants to understand the critical issues and feasibility of developing a business venture

You’ll discover high-value metrics for virtually every facet of marketing: promotional strategy

characterization techniques of reinforced plastics

and public policy

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically, 1e (eBook) Edition_35 energy methods and virtual workOverview: While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills