Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow: Conceptos, herramientas y tecnicas para construir sistemas inteligentes Paperback May 28, 2020
genuine image
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
товар №: 72434594

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

товар №: 72434594

TJS 4055

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from США

В наличии
США Импортировано из магазина USA

QTY:

Закажите сейчас и получите товар приблизительно Sunday, Август 23
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
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.
Гарантия U-Care:
Нет
Выберите план
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of США store (110-120). Recommended power converters Купите сейчас.

What Stands Out

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.

Информация о продукте

Find the best guide to understand machine learning concepts and tools for intelligent system development. Get your copy now from Ubuy Tajikistan.
Item Weight1.5 lbs (680 grams)

Who Should Buy?

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.

  • Casual Readers

    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.

ОПИСАНИЕ ТОВАРА

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.

Есть вопрос? Пообщайтесь с нами в чате

Вопросы и ответы клиентов

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

    отвечать: 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.
  • вопрос: Who is the target audience for this book?

    отвечать: 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.
  • вопрос: Are there practical examples included in the book?

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

    отвечать: 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.
  • вопрос: Can I use this book for self-study?

    отвечать: 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.
  • вопрос: Is prior programming knowledge required to understand the book?

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

    отвечать: 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.
  • вопрос: Can this book help me with building my machine learning projects?

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

    отвечать: 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.
  • вопрос: Where can I buy 'Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow' in Tajikistan?

    отвечать: 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 Tajikistan. Simply visit their website, search for the book title, and follow the purchasing process to obtain your copy.

Computer Science Editorial Review

Редакционных отзывов не найдено

Customer Reviews & Ratings

4.0
1 оценки клиентов
  • 5 звезда
    0%
  • 4 звезда
    100%
  • 3 звезда
    0%
  • 2 звезда
    0%
  • 1 звезда
    0%

Оцените этот товар

Поделитесь своими впечатлениями

Product Price History

Важная информация

  • Ограничения: обратите внимание, что для товаров, поставляемых за границу, гарантия производителя может быть недействительной; обслуживание от производителя может быть недоступно; руководства по эксплуатации, а также инструкции и предупреждения о безопасности могут быть не на языках страны назначения; товары (и сопутствующие материалы) могут не быть разработаны в соответствии со стандартами, спецификациями и требованиями к маркировке страны назначения; товары также могут не соответствовать напряжению в стране назначения и другим электрическим стандартам (при необходимости требуется использование адаптера или преобразователя). Получатель несет ответственность за обеспечение законного ввоза товара в страну назначения. При заказе через Ubuy или его аффилированных лиц получатель является зарегистрированным импортером и должен соблюдать все законы и правила страны назначения.
  • Не все товары на Ubuy выставлены на продажу, поскольку Ubuy — это глобальная поисковая система. На товары распространяются законы в области экспорта и торговли.

TJS 4055

Закажите сейчас и получите товар приблизительно Sunday, Август 23

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Особенности и преимущества

  • 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.