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Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May 28, 2020
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Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May 28, 2020
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.
Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May 28, 2020
Artigo n.º: 72434594

Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May

Artigo n.º: 72434594

STD 6821580

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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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O que se Destaca

Comprehensive Coverage
Offers an in-depth exploration of machine learning concepts and techniques, making it suitable for both beginners and experienced practitioners looking to enhance their expertise.
Practical Tools
Focuses on essential tools like Scikit-Learn, Keras, and TensorFlow, equipping readers with the necessary skills to build intelligent systems effectively and efficiently.
Hands-on Learning
Includes practical examples and projects, allowing readers to apply learned concepts in real-world scenarios, thereby solidifying their understanding and boosting confidence.

Detalhes do produto

Find the best guide to understand machine learning concepts and tools for intelligent system development. Get your copy now from Ubuy São Tomé and Príncipe.
Peso do Item1,5 libras (680 gramas)

Quem Deverá Comprar?

Suitable For
  • Beginners in ML

    Ideal for those new to machine learning wanting a structured introduction to key concepts and tools.

  • Data Scientists

    Useful for data professionals seeking to enhance their skills in using Scikit-Learn, Keras, and TensorFlow.

  • Self-learners

    Perfect for individuals looking to self-study at their own pace with practical examples and comprehensive explanations.

Not Suitable For
  • Advanced Experts

    Not suitable for seasoned professionals as it covers foundational concepts rather than advanced techniques.

  • Leitores Casuais

    Less appealing for those looking for light reading; it requires attention and commitment to deeper learning.

  • Non-technical Individuals

    Not appropriate for readers without a background in programming or math, as it involves technical details.

DESCRIÇÃO DO PRODUTO

Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May 28, 2020

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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Perguntas e Respostas dos Clientes

  • pergunta: What topics are covered in 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow'?

    Resposta: 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.
  • pergunta: Who is the target audience for this book?

    Resposta: 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.
  • pergunta: Are there practical examples included in the book?

    Resposta: 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.
  • pergunta: What makes Scikit-Learn, Keras, and TensorFlow significant tools in machine learning?

    Resposta: 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.
  • pergunta: Can I use this book for self-study?

    Resposta: 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.
  • pergunta: Is prior programming knowledge required to understand the book?

    Resposta: 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.
  • pergunta: How does this book update the reader on the latest trends in machine learning?

    Resposta: 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.
  • pergunta: Can this book help me with building my machine learning projects?

    Resposta: 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.
  • pergunta: Will I learn about both theoretical and practical aspects of machine learning?

    Resposta: 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.
  • pergunta: Where can I buy 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' in São Tomé and Príncipe?

    Resposta: 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 São Tomé and Príncipe. Simply visit their website, search for the book title, and follow the purchasing process to obtain your copy.

Computer Science Editorial Review

"Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow" is a comprehensive book that focuses on practical aspects of data science and machine learning. The author emphasizes the use of modern and widely used libraries such as TensorFlow 2, Keras, and Scikit-Learn. While the book may lack in-depth explanations of the mathematical foundations of machine learning, it provides clear and understandable examples that make it easy to follow for beginners in the field. The book covers a wide range of topics and is a valuable resource for those interested in learning machine learning. Customer Reception: - The book is praised for its clarity and ease of understanding, making it suitable for beginners in machine learning. - The examples provided in the book are Considered to be helpful and practical. - Some customers received the book in poor condition, with wet pages, which affected their reading experience. - The lack of color in the book's content is mentioned as a downside, as it could enhance the visual experience. - The price of the book is criticized for not being reflective of the quality of the text and images. Overall, "Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow" is a recommended resource for those looking to learn machine learning, with its practical approach and use of popular libraries. However, potential buyers should be aware of the possible issues with the book's physical condition and the lack of color in its content.

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Prós

  • Clear and understandable explanations for beginners.
  • Practical examples that aid in learning.
  • Covers a wide range of topics in machine learning.

Contras

  • Some customers received the book in poor condition, with wet pages.

Histórico de preços do produto

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  • Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
  • Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.

STD 6821580

Encomende já e receba por volta de Quarta-feira, Agosto 19

QTY:

Transação seguraTransação segura

A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.

Os nossos principais Parceiros Logísticos
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Recursos e benefícios

  • 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.