Applied Machine Learning and AI for Engineers eBook

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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 necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There’s no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write

This is a digital product.

Additional ISBNs
9781492098027

Applied Machine Learning and AI for Engineers 1st Edition is written by Jeff Prosise and published by O’Reilly Media. The Digital and eTextbook ISBNs for Applied Machine Learning and AI for Engineers are 9781098136291, 1098136292 and the print ISBNs are 9781492098058, 1492098051. Additional ISBNs for this eTextbook include 9781492098027.