Who is the target audience for this book?

The book is suited for a range of audiences, including data scientists, software engineers, and machine learning practitioners. It is ideal for individuals who have a basic understanding of Python and wish to dive deeper into applied machine learning. By focusing on practical applications and projects, it caters to both professionals seeking to polish their skills and students aiming for hands-on experience in real-world scenarios.

What libraries and tools are covered in the book?

The book introduces powerful libraries such as TensorFlow, Keras, and scikit-learn, among others. These libraries provide robust frameworks for building machine learning models efficiently. Additionally, readers will explore tools for data preprocessing, model evaluation, and deployment strategies to ensure their projects are not only functional but also production-ready, making the learning process highly applicable.

Can beginners understand the concepts presented in this book?

While the book is tailored for those with a foundational knowledge of Python, it is written in a manner that is accessible to motivated beginners. It gradually introduces complex concepts and solidifies understanding with practical projects. This hands-on approach encourages readers to experiment and apply what they learn, making it a suitable stepping stone for anyone eager to delve into machine learning.

What types of projects can I expect to find in the book?

The book includes a variety of projects that cater to different machine learning applications, such as classification, regression, and clustering tasks. Each project is designed to tackle specific challenges, allowing readers to apply theoretical knowledge to tangible data problems. This project-oriented format not only solidifies learning but also builds a diverse portfolio, showcasing practical skills to potential employers.

Does the book address model deployment techniques?

Yes, one of the key focuses of the book is on deploying machine learning models into production. It discusses best practices for integrating models into applications and how to maintain and update them post-deployment. This is crucial for anyone looking to convert their data science projects into robust, real-world applications that can be utilized by businesses and consumers alike.

What statistical techniques are highlighted in the book?

The book emphasizes various powerful statistical techniques, including regression analysis, hypothesis testing, and Bayesian methods. These techniques are fundamental to understanding the underlying data characteristics and creating models that provide meaningful insights. By integrating these statistical methods with machine learning practices, readers can develop more accurate predictive models that are grounded in sound analysis.

Is there a digital version of this book available?

Yes, the book is often available in both digital and print formats. The digital version can be a convenient option for readers who prefer to access the content through e-readers or tablets. This format also facilitates easy searching and highlighting, enhancing the learning experience as readers can quickly refer back to key concepts and examples during their project work.

How can I apply the knowledge from this book in my career?

Applying the knowledge gained from this book can significantly enhance your career prospects in various technology-driven fields. The practical skills developed through the projects make you more valuable to employers who seek candidates proficient in machine learning and data analysis. This knowledge can lead to roles such as data scientist, machine learning engineer, or business analyst, where you'll drive data-driven decision-making.

Where can I buy 'Applied Machine Learning Solutions with Python'?

You can purchase 'Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques' from Ubuy in Aruba. Ubuy offers a reliable platform to acquire this informative book, allowing you to explore the cutting-edge insights of applied machine learning effectively.

¿Cómo comprar Applied Machine Learning Solutions with Python: en línea desde Ubuy?

Es fácil comprar Applied Machine Learning Solutions with Python: en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.

¿Está Applied Machine Learning Solutions with Python: disponible para comprar en línea en Aruba?

Sí, en Ubuy Aruba, este producto está disponible para que lo compre a un precio razonable.. El Applied Machine Learning Solutions with Python: no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.

¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Ver original

Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)

A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. The book discusses how to apply machine learning to real-world problems by utilizing real-world data, while covering popular techniques, comprehensive tools, and numerous machine learning libraries.

Artículo nº.: 52821289

Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques

Q: What is 'Applied Machine Learning Solutions with Python' about?

This book serves as a comprehensive guide to implementing machine learning projects using Python. It covers practical applications by leveraging cutting-edge libraries like TensorFlow and scikit-learn. Readers will learn to develop production-ready solutions that address real-world data challenges. This is particularly beneficial for software engineers, data scientists, and even enthusiasts looking to enhance their skills with practical, project-based knowledge.

84% de los encuestados recomendarían esto a un amigo

Artículo nº.: 52821289

AWG 54

Detalles del precio

Sin incluir gastos de envío y aduana ( Los gastos de envío y aduana se calcularán al finalizar la compra )

^{*Todos los artículos se importarán desde EE. UU.}

Disponibilidad : En stock

Importado de la tienda USA

CANT.:

Haz tu pedido ahora y recíbelo el Martes, Octubre 13

Transacción segura

Nuestros mejores socios logísticos

A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. The book discusses how to apply machine learning to real-world problems by utilizing real-world data, while covering popular techniques, comprehensive tools, and numerous machine learning libraries.

Garantía U-Care:

Ninguna

Selecciona un plan

Envío
rápido

Devolución
gratuita^*

Embalaje seguro

Productos 100% originales

Cumple con PCI DSS

Certificado ISO 27001

Lo que más destaca

Practical Projects

Offers real-world machine learning projects, ensuring practical application of concepts. This hands-on approach aids learners in developing production-ready solutions, bridging the gap between theory and real-life implementation.

Comprehensive Libraries

Utilizes cutting-edge libraries like TensorFlow and Scikit-learn, providing readers with modern tools for effective model building. This equips learners with the latest techniques and improves their competitive edge in the field.

Statistical Techniques

Incorporates powerful statistical techniques, enhancing understanding of underlying data processes. This foundational knowledge empowers users to make informed decisions and optimize their machine learning models effectively.

Detalles del producto

Addresses industrial machine learning issues with expert-chosen methods and frameworks
Covers popular techniques for problem formulation, data collection, and data cleaning
Includes useful machine learning tools like MLFlow and Streamlit
Features machine learning libraries such as Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy
Discusses real-world machine learning application with data investigation, pipelines, and examples
Recommended for beginners in machine learning, software engineers, and students desiring production-ready ML systems

Publisher	BPB Publications
Publication date	September 1, 2021
Language	English
Print length	356 pages
ISBN-10	9391030432
ISBN-13	978-9391030438
Item Weight	1.36 pounds (620 grams)
Dimensions	7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm)

¿Quién debería comprarlo?

Aspiring Data Scientists
Ideal for beginners looking to build practical machine learning skills through hands-on projects and guided examples.
Intermediate Python Users
Great for users with Python knowledge who want to expand into machine learning with practical applications.
Industry Professionals
Beneficial for professionals in data-dependent fields who need to implement machine learning solutions effectively.

Complete Beginners
Not suitable for those who lack basic programming and machine learning knowledge as it assumes prior experience.

DESCRIPCIÓN DEL PRODUCTO

Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

Pregunta: ¿Cómo comprar Applied Machine Learning Solutions with Python: en línea desde Ubuy?

Respuesta: Es fácil comprar Applied Machine Learning Solutions with Python: en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Applied Machine Learning Solutions with Python: disponible para comprar en línea en Aruba?

Respuesta: Sí, en Ubuy Aruba, este producto está disponible para que lo compre a un precio razonable.. El Applied Machine Learning Solutions with Python: no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Neural Networks Editorial Review

No se encontraron reseñas editoriales

Reseñas y valoraciones de clientes

5.0

1 valoraciones de los clientes

5 estrella

100%
4 estrella

0%
3 estrella

0%
2 estrella

0%
1 estrella

0%

Escribir una reseña de este producto

Comparte tu opinión con otros clientes

Ventajas

Comprehensive coverage of ML techniques
Practical, production-ready projects
Utilizes cutting-edge libraries
Excellent for intermediate learners
Hands-on approach enhances understanding

Desventajas

Occasional complex explanations

Historial de precios del producto

Información importante

Limitaciones: para los productos enviados internacionalmente, hay que tener en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en el idioma del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje y otras normas eléctricas del país de destino (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Al realizar un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir con todas las leyes y reglamentos del país de destino.
No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda global. Los productos están sujetos a las normas de exportación/comercio.

AWG 54

Haz tu pedido ahora y recíbelo el Martes, Octubre 13

CANT.:

Transacción segura

Cumplimos con PCI DSS y contamos con la certificación ISO 27001:2022, con pagos cifrados y protección total del comprador en cada pedido.

Nuestros mejores socios logísticos

La entrega internacional más rápida

Características y beneficios

Real-world problem solving using machine learning with real-world data
Popular techniques, comprehensive tools, numerous ML libraries covered
Problem formulation, data collection, data cleaning, model building, fine-tuning, deployment guidelines
Use cases for data analytics, computer vision, natural language processing
Suitable for beginners in ML, software engineers, and students

Garantía Ubuy

Compra sin preocupaciones: productos 100 % originales, pagos seguros conforme a PCI DSS, protección de datos con certificación ISO 27001, la entrega transfronteriza más rápida, devoluciones gratuitas* y embalaje seguro en cada pedido.

Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques

AWG 54

Envío rápido

Devolución gratuita*

Embalaje seguro

Productos 100% originales

Cumple con PCI DSS

Certificado ISO 27001

Lo que más destaca

Detalles del producto

¿Quién debería comprarlo?

DESCRIPCIÓN DEL PRODUCTO

Preguntas y respuestas de los clientes

Neural Networks Editorial Review

Reseñas y valoraciones de clientes

Escribir una reseña de este producto

Ventajas

Desventajas

Historial de precios del producto

Información importante

AWG 54

Características y beneficios

Garantía Ubuy

Envío
rápido

Devolución
gratuita^*