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Vare #:
51281468
Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes
Vare #:
51281468
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La edición actualizada de este best seller utiliza ejemplos concretos, una teoría mínima y frameworks de Python listos para la producción para ayudarte a obtener una comprensión intuitiva de los conceptos y herramientas para crear sistemas inteligentes.
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Hvad der skiller sig ud
Comprehensive Coverage
Covers essential machine learning concepts and tools like Scikit-Learn, Keras, and TensorFlow, providing learners with a well-rounded foundation to build intelligent systems.
Hands-On Approach
Emphasizes practical application through real-world examples and projects, enabling users to apply learned techniques directly to actual problems without unnecessary theory.
User-Friendly Format
Designed for both beginners and experienced practitioners, blending theory and practice seamlessly for a smooth learning experience that prioritizes usability and accessibility.
Produktdetaljer
- Paperback book covering concepts, tools, and techniques for building intelligent systems using Scikit-Learn, Keras, and TensorFlow
- Provides comprehensive learning material for Machine Learning enthusiasts
- Published on May 28, 2020
- Authored with expertise in the field of Machine Learning and intelligent systems
- In-depth exploration of Scikit-Learn, Keras, and TensorFlow for practical applications
- Suitable for individuals interested in practical implementation of Machine Learning
| Publisher | ANAYA MULTIMEDIA |
| Publication date | May 28, 2020 |
| Edition | ediciu00f3n |
| Language | Spanish |
| Print length | 800 pages |
| ISBN-10 | 8441542643 |
| ISBN-13 | 978-8441542648 |
| Item Weight | 2.87 pounds (1.3 kg) |
| Dimensions | 6.89 x 1.89 x 8.86 inches (17.5 x 4.8 x 22.5 cm) |
Produktbeskrivelse
Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes
About This Item
Dive into the world of machine learning with "Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow." This comprehensive paperback book provides an in-depth understanding of machine learning concepts and techniques, making it the perfect resource for beginners. Whether you are a novice or have some experience in the field, this book is an essential tool for learning the ins and outs of scikit-learn, Keras, and TensorFlow. Written in Spanish, this invaluable resource is carefully crafted to help you build intelligent systems.
Don't miss out on this must-have addition to your machine learning resources. Get your hands on the paperback version now and take your knowledge to the next level.
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Kundespørgsmål og svar
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spørgsmål:
What topics are covered in 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow'?
svar: This book covers a wide range of topics in machine learning, including the fundamental concepts, various tools like Scikit-Learn, Keras, and TensorFlow, and techniques for building intelligent systems. It delves into supervised and unsupervised learning methods, deep learning, and practical applications in data science. Each topic is explained with clarity to ensure that readers can effectively apply their knowledge in real-world scenarios, from predictive analytics to neural network modeling. -
spørgsmål:
Who is the target audience for this book?
svar: The book is ideally suited for beginners who are eager to understand machine learning concepts and practitioners looking to enhance their skills. It is also beneficial for data scientists and AI enthusiasts who wish to explore advanced tools and techniques. Readers can follow along with the book's practical projects, making it an effective resource for both self-learners and classroom settings. -
spørgsmål:
Are there practical examples included in the book?
svar: Yes, 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' includes numerous practical examples and projects throughout its chapters. These hands-on exercises allow readers to apply theoretical knowledge to real-world datasets, reinforcing learning through implementation. This approach makes it easier to understand complex algorithms by integrating hands-on projects involving data preprocessing, model training, and evaluation. -
spørgsmål:
What makes Scikit-Learn, Keras, and TensorFlow significant tools in machine learning?
svar: Scikit-Learn is renowned for its simplicity and efficiency, making it an excellent starting point for beginners. Keras provides a user-friendly interface for creating neural networks and is built on top of TensorFlow, which is a powerful library that allows for high-performance numerical computation. The combination of these tools simplifies the process of building and deploying machine learning models, making them essential for both novices and experienced professionals. -
spørgsmål:
Can I use this book for self-study?
svar: Absolutely! The structure of 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' is designed with self-study in mind. It provides clear explanations, practical examples, and exercises to help reinforce learned concepts. Readers can progress at their own pace, making it an ideal resource for independent learners who want to dive into the world of machine learning without prior experience. -
spørgsmål:
Is prior programming knowledge required to understand the book?
svar: While some programming knowledge is beneficial, especially in Python, it is not strictly required. The book begins with fundamental machine learning concepts and gradually introduces programming aspects, allowing beginners to follow along. For those new to programming, supplementary online resources can be beneficial to gain expertise in Python as they navigate through the book. -
spørgsmål:
How does this book update the reader on the latest trends in machine learning?
svar: The book encompasses contemporary topics and trends in machine learning, such as advances in deep learning architectures and their applications in various fields. It discusses recent methodologies and research developments, ensuring readers are equipped with current knowledge in the fast-evolving tech landscape. This relevance helps readers stay competitive in the growing field of AI and data science. -
spørgsmål:
Can this book help me with building my machine learning projects?
svar: Yes, 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' equips readers with the skills necessary to build their machine learning projects from scratch. It covers essential techniques for data cleaning, model selection, and performance evaluation, providing readers with the confidence to tackle their own projects. The practical approach ensures that knowledge can be directly applied to personal or professional objectives in data analytics. -
spørgsmål:
Will I learn about both theoretical and practical aspects of machine learning?
svar: Indeed, the book balances both theoretical foundations and practical applications. It discusses essential algorithms and model objectives while providing coding examples and exercises to synthesize these concepts. This dual approach ensures that readers gain not only an understanding of how machine learning works but also hands-on experience in applying it effectively. -
spørgsmål:
Where can I buy 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' in Greenland?
svar: You can purchase 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' on Ubuy. Ubuy offers a convenient way to find this book and have it delivered to your location in Greenland. Simply visit their website, search for the book title, and follow the purchasing process to obtain your copy.
Computer Science Editorial Review
The book is a well-translated Spanish version of a widely circulated Machine Learning book with a focus on Data Science and practical application. The author emphasizes understanding how to handle libraries rather than explaining the mathematical foundations of Machine Learning methods. The book uses modern and widely-used industry libraries such as Tensor Flow 2, Keras, and Scikit-Learn. Customers found the examples in the book easy to follow, and the book covers a wide spectrum of Machine Learning use. The book is ideal as a reference manual for those starting in the field and for those with some knowledge. Some customers were disappointed that the book was not in color, and others noted that the font size and images could have been bigger. In summary, the book is ideal for anyone interested in learning Machine Learning and Deep Learning or as a reference manual for those already in the field.
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Fordele
- Well-translated Spanish version of a widely circulated Machine Learning book
- Focuses on Data Science and practical application
- Uses modern and widely-used industry libraries
- Examples in the book are easy to follow
- Ideal as a reference manual for those starting in the field and for those with some knowledge
- Covers a wide spectrum of Machine Learning use
Ulemper
- Not in color
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DKK 2113
Dette produkt er ikke færdigbehandlet af Ubuy og kan tage mindst 10 dage at levere. Vi annullerer eventuelt produktet fra ordren og tilbagebetaler købet, hvis der opstår problemer med leveringen af dette produkt.
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Egenskaber og fordele
- La edición actualizada de este libro es un best seller en la creación de sistemas inteligentes.
- Utiliza ejemplos concretos, teoría mínima y frameworks de Python.
- Los programadores sin experiencia pueden implementar programas de aprendizaje a partir de datos.
- Contiene técnicas actualizadas, ejercicios prácticos y está disponible en GitHub.
- Se ha actualizado a TensorFlow 2 y la versión más reciente de Scikit-Learn.
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