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Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines. Code by Kirill Kolodiazhnyi is a nonfiction available to read on EtoBox.

What is Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines. Code about?

Code . Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You'll cover techniques such as product recommendations, ensemble learning, and anomaly detec

Who reads Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines. Code?

Author

Kirill Kolodiazhnyi

Publisher

Packt Publishing, Limited

Published

2020

Language

EN

ISBN

9781789955330

Category

nonfiction

Subjects

Science, Computer Science, Stem