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























