Applied Machine Learning and AI for Engineers

Applied Machine Learning and AI for Engineers" offers a unique, practical approach to understanding and implementing artificial intelligence and machine learning without getting bogged down in complex calculus. Designed for engineers and software developers, this book helps you build an intuitive grasp of AI concepts to solve real-world business challenges, from detecting illegal logging to predicting machinery failures. Through hands-on examples and illustrations, it provides a fast start to applying AI and ML at your company, focusing on practical skills over theoretical equations. Why You Should Read? Gain a practical, intuitive understanding of AI and machine learning without heavy math. Learn to build machine learning models in Python using Scikit-Learn, Keras, and TensorFlow. Develop skills to create facial recognition, object detection, and natural language processing models. Discover how to infuse AI into your applications using Cognitive Services for real-world impact. About the Author Jeff Prosise is a renowned expert in artificial intelligence and machine learning, with extensive experience teaching these subjects to engineers and software developers globally. He is celebrated for his ability to demystify complex technical topics, making them accessible and actionable for professionals. Prosise's practical, hands-on teaching methodology, reflected in this book, empowers readers to immediately apply AI and ML concepts to solve pressing business problems. His work helps bridge the gap between theoretical knowledge and real-world implementation in the tech industry.