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Sinopsis
Harness the Power of PyTorch for Cutting-Edge AI Solutions
PyTorch has become the go-to deep learning framework for researchers and industry professionals alike. Whether you're a data scientist, AI engineer, or Python enthusiast, this book will help you master PyTorch and apply it to real-world machine learning and deep learning challenges.
Master PyTorch for AI and Data ScienceThis comprehensive guide takes you from the fundamentals of PyTorch to advanced deep learning techniques, enabling you to build, train, and optimize models with confidence. You'll start with an introduction to tensors and autograd, then progress to training neural networks, fine-tuning transformers, and deploying AI models. With practical examples and hands-on projects, you'll gain a deep understanding of PyTorch’s capabilities for natural language processing (NLP), computer vision, and structured data tasks.
By the end of this book, you'll be equipped with the skills to develop scalable, production-ready AI models using PyTorch, making you a valuable asset in the world of data science and machine learning.
Why Choose This Book?✅ Practical Approach – Learn through real-world projects and hands-on exercises.
✅ Comprehensive Coverage – Covers everything from basic tensors to advanced deep learning architectures.
✅ Modern AI Techniques – Includes transformers, GANs, and reinforcement learning.
✅ Optimized for Efficiency – Learn best practices for model optimization and deployment.
✅ Perfect for Data Scientists – Tailored for those looking to apply machine learning to real-world datasets.
Don't just learn PyTorch—master it with this practical, in-depth guide. Grab your copy now and take your data science and AI skills to the next level!
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PyTorch for Data Scientists: Machine Learning and Deep Learning with Python
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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PyTorch for Data Scientists: Machine Learning and Deep Learning with Python
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Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798313832395
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PyTorch for Data Scientists (Paperback)
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Harness the Power of PyTorch for Cutting-Edge AI SolutionsPyTorch has become the go-to deep learning framework for researchers and industry professionals alike. Whether you're a data scientist, AI engineer, or Python enthusiast, this book will help you master PyTorch and apply it to real-world machine learning and deep learning challenges.Master PyTorch for AI and Data ScienceThis comprehensive guide takes you from the fundamentals of PyTorch to advanced deep learning techniques, enabling you to build, train, and optimize models with confidence. You'll start with an introduction to tensors and autograd, then progress to training neural networks, fine-tuning transformers, and deploying AI models. With practical examples and hands-on projects, you'll gain a deep understanding of PyTorch's capabilities for natural language processing (NLP), computer vision, and structured data tasks.By the end of this book, you'll be equipped with the skills to develop scalable, production-ready AI models using PyTorch, making you a valuable asset in the world of data science and machine learning.Why Choose This Book? Practical Approach - Learn through real-world projects and hands-on exercises. Comprehensive Coverage - Covers everything from basic tensors to advanced deep learning architectures. Modern AI Techniques - Includes transformers, GANs, and reinforcement learning. Optimized for Efficiency - Learn best practices for model optimization and deployment. Perfect for Data Scientists - Tailored for those looking to apply machine learning to real-world datasets.Start Building Smarter AI Models Today!Don't just learn PyTorch-master it with this practical, in-depth guide. Grab your copy now and take your data science and AI skills to the next level! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798313832395
Cantidad disponible: 1 disponibles
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PyTorch for Data Scientists (Paperback)
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Harness the Power of PyTorch for Cutting-Edge AI SolutionsPyTorch has become the go-to deep learning framework for researchers and industry professionals alike. Whether you're a data scientist, AI engineer, or Python enthusiast, this book will help you master PyTorch and apply it to real-world machine learning and deep learning challenges.Master PyTorch for AI and Data ScienceThis comprehensive guide takes you from the fundamentals of PyTorch to advanced deep learning techniques, enabling you to build, train, and optimize models with confidence. You'll start with an introduction to tensors and autograd, then progress to training neural networks, fine-tuning transformers, and deploying AI models. With practical examples and hands-on projects, you'll gain a deep understanding of PyTorch's capabilities for natural language processing (NLP), computer vision, and structured data tasks.By the end of this book, you'll be equipped with the skills to develop scalable, production-ready AI models using PyTorch, making you a valuable asset in the world of data science and machine learning.Why Choose This Book? Practical Approach - Learn through real-world projects and hands-on exercises. Comprehensive Coverage - Covers everything from basic tensors to advanced deep learning architectures. Modern AI Techniques - Includes transformers, GANs, and reinforcement learning. Optimized for Efficiency - Learn best practices for model optimization and deployment. Perfect for Data Scientists - Tailored for those looking to apply machine learning to real-world datasets.Start Building Smarter AI Models Today!Don't just learn PyTorch-master it with this practical, in-depth guide. Grab your copy now and take your data science and AI skills to the next level! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798313832395
Cantidad disponible: 1 disponibles