Modern C++ for Machine Learning by Aarav Joshi (.ePUB)

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File Size: 34.8 MB

Modern C++ for Machine Learning: A Comprehensive Guide to Building Production-Ready AI Systems by Aarav Joshi
Requirements: .ePUB reader, 34.8 MB
Overview: Modern C++ for Machine Learning: A Comprehensive Guide to Building Production-Ready AI Systems is an essential resource for developers, data scientists, and engineers who want to harness the power of modern C++ for machine learning applications. This comprehensive guide takes you through the complete machine learning lifecycle, from foundational concepts to advanced deployment strategies. The book covers cutting-edge topics including Deep Learning architectures, transformer models, computer vision, natural language processing, and MLOps practices. You’ll master essential C++ libraries like Eigen, OpenCV, TensorFlow C++ API, and PyTorch C++ frontend while learning to implement everything from basic clustering algorithms to sophisticated neural networks. By the end, you’ll have the expertise to design, implement, and deploy enterprise-grade AI systems that leverage C++’s performance advantages for demanding machine learning applications.
Genre: Non-Fiction > Tech & Devices

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