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In today's ever-evolving engineering landscape, staying at the forefront is paramount.
"An Introduction to Artificial Intelligence and Machine Learning" is your comprehensive guide to mastering Artificial Intelligence (Al), Machine Learning (ML) and the critical statistical underpinnings.
Crafted especially for the students of engineering, it provides a structured path to harness Al and ML in your field. In the realm of Al, delve into search, problem-solving, adversarial search, logic and ethics. The Statistical Methods section covers probability, sampling and hypothesis testing essentials. Machine Learning takes you through data workflows, regression, classification and ensemble learning and explores hidden insights in unsupervised learning.
This book equips you with the tools to lead innovation and redefine possibilities in engineering.
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