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Applied machine learning and ai for engineers: solve business problems that can't be...

799 грн

Описание

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

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