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kolodiazhnyi k hands machine learning c 2020

Type:: E-books
Files:: 2
Size:: 25.8 MB
Uploaded On:: May 21, 2020, 8:35 a.m.
Added By:: andryold1
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Leechers:: 0
Info Hash:: 79C02B7B88A168671E4AC5DC5702FA306578B3C4

Textbook in PDF format Build, train, and deploy end-to-end machine learning and deep learning pipelines 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 detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems

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Kolodiazhnyi K. Hands-On Machine Learning with C++... 2020.pdf 24.7 MB

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kolodiazhnyi k hands machine learning c 2020