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88895662
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)
99% of respondents would recommend this to a friend
Nº de artículo:
88895662
USD 56
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This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
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What Stands Out
Comprehensive Coverage
This book offers extensive insights into both machine learning and deep learning using Python, equipping readers with the knowledge to tackle a wide range of AI problems effectively.
Hands-On Projects
With practical examples and projects, readers can apply concepts immediately, enhancing understanding and real-world application of machine learning and deep learning techniques.
Expert Guidance
Authored by experienced professionals, the book provides expert tips and best practices, ensuring readers learn the most efficient methods for using PyTorch and Scikit-Learn in their projects.
Detalles de producto
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | February, 2022 |
| Pages | 774 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Digital file format | |
| Digital reader format | |
| Digital audio file format | |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in |
| Assembled product weight | 2.88 lb (1.31 kg) |
| Bisac subject heading | Mathematics |
Who Should Buy?
-
Beginners in ML
Ideal for newcomers seeking a comprehensive guide to machine learning concepts and Python application using PyTorch and Scikit-Learn.
-
Data Scientists
Useful for data professionals wanting to enhance their skills in practical machine learning and deep learning model development.
-
Educators
Perfect for teachers looking for structured resources to introduce machine learning topics in their curriculum effectively.
-
Advanced Users
May not suit experienced practitioners seeking advanced theory or cutting-edge techniques beyond introductory material.
DESCRIPCIÓN DEL PRODUCTO
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)
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Sebastian Raschka All Books Editorial Review
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback) is an insightful textbook published by Packt Publishing, designed for those eager to delve into the realms of machine learning and deep learning. Spanning 774 pages, this non-fiction book not only covers essential concepts but also offers hands-on projects to enhance practical skills. Whether you're a student or a professional looking to master the intricacies of algorithms, it serves as an invaluable resource. The book is written in clear English, making it accessible to a broad audience interested in advancing their knowledge in mathematics and programming.
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ventajas
- Rich content on machine learning concepts
- Hands-on projects for practical learning
- Suitable for both beginners and professionals
- Covers deep learning techniques effectively
- Well-organized material for easy understanding
Contras
- Paperback format may be less durable than hard copies
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características y beneficios
- Comprehensive guide to machine learning and deep learning with PyTorch.
- Learn both theory and application with clear, intuitive explanations.
- Fully updated to cover advanced topics like GANs, graph neural networks, and transformers.
- Includes practical tutorials and best practices for building machine learning systems.
- Perfect for Python developers wanting to start or deepen their machine learning journey.
- Free eBook included with purchase.
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