{"product_id":"pytorch-for-data-science-a-practical-guide-to-building-and-deploying-ai-models-9798297785496","title":"PyTorch for Data Science: A Practical Guide to Building and Deploying AI Models","description":"\u003cp\u003e • Author(s): Charles R. Graham\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Modeling \u0026amp; Design\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAre you ready to build powerful artificial intelligence models that solve real-world problems? This practical guide provides the essential knowledge and hands-on skills for deep learning with PyTorch.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePyTorch for Data Science\u003c\/b\u003e offers a clear, practical pathway to mastering deep learning. This book starts with the core components of PyTorch, guiding you through tensor operations, automatic differentiation, and efficient data handling. You'll then progress to constructing and training various neural network architectures, including feedforward networks and Convolutional Neural Networks (CNNs) for image tasks, and Recurrent Neural Networks (RNNs) for sequential data like text.\u003c\/p\u003e\u003cp\u003eBeyond foundational concepts, this guide explores advanced topics such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) for creating new data, and Graph Neural Networks (GNNs) for complex relational data. Crucially, it emphasizes responsible AI development, covering vital aspects like bias, explainability, privacy, and the importance of human oversight. The book culminates in a comprehensive project: building and deploying a multi-label image classifier, bringing all learned concepts into a practical application.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat's inside this Book?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eBuild diverse neural networks: \u003c\/b\u003e Create models for image, text, and graph data.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eMaster transfer learning: \u003c\/b\u003e Effectively use pre-trained models for faster, better results.1\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUnderstand generative AI: \u003c\/b\u003e Learn to build models that create new content.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eImplement ethical AI practices: \u003c\/b\u003e Address bias, ensure transparency, and protect data privacy.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDeploy AI models: \u003c\/b\u003e Turn your trained models into accessible web APIs for real-world use.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003eGet Your Copy Today!\u003cp\u003eStart building and deploying intelligent systems with confidence. Purchase PyTorch for Data Science and transform your AI development skills.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779219275927,"sku":"9798297785496","price":2716.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798297785496.webp?v=1778034440","url":"https:\/\/atlanticbooks.com\/products\/pytorch-for-data-science-a-practical-guide-to-building-and-deploying-ai-models-9798297785496","provider":"Atlantic Books","version":"1.0","type":"link"}