Ver original
0 ratings
Machine Learning Algorithms: Handbook
genuine image
Machine Learning Algorithms: Handbook
Packed with practical examples using Python and code snippets, you'll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects.
Machine Learning Algorithms: Handbook
Artículo nº.: 80060774

Machine Learning Algorithms: Handbook

Artículo nº.: 80060774

€ 45

Price Details

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

*All items will import from EE. UU.

En stock
EE. UU. Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo el Sunday, Agosto 02
Transacción seguraTransacción segura

Ubuy trabaja arduamente para proteger tu seguridad y privacidad. Nuestro avanzado sistema de seguridad de pagos garantiza la confidencialidad al cifrar tu información durante la transmisión mediante los protocolos AES (Estándares de Cifrado Avanzado) y SSL (Capa de Conexión Segura). Tus datos de pago están 100% seguros, ya que no compartimos tus detalles de pago con vendedores externos.

Nuestros mejores socios logísticos
  • fedex
  • dhl
Packed with practical examples using Python and code snippets, you'll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects.
Garantía U-Care:
Ninguna
Selecciona un plan
buy now pay later

Buy Now Pay Later

fast shipping

Envío
rápido

free return

Devolución
gratuita*

Embalaje seguro

Embalaje seguro

100% Productos originales

100% Productos originales

pci-dss

Cumple con PCI DSS

iso certified

Certificado ISO 27001

paypal payment
visa payment
mastercard payment
sofort payment
klarna payment
Note: Step Down Voltage Transformer required for using electronics products of EE. UU. store (110-120). Recommended power converters Comprar ahora.

Lo que más destaca

Comprehensive Coverage
This handbook offers an extensive overview of various machine learning algorithms, making it a vital resource for both beginners and experts seeking to deepen their understanding of the subject.
Latest Insights
Published in September 2023, the content is up-to-date with the latest developments in machine learning, ensuring readers are informed about current trends and practices in the field.
Practical Applications
The book includes real-world examples and practical applications of machine learning algorithms, helping readers to apply theoretical concepts effectively in their projects and endeavors.

Detalles de producto

Shop Machine Learning Algorithms: Handbook online at a best price in Spain. 935648483X
Package Weight1 Pound

¿Quién debería comprarlo?

Suitable For
  • Beginners in ML

    Ideal for those new to machine learning, providing foundational knowledge and easy-to-understand algorithms.

  • Data Science Students

    Perfect for students pursuing data science, offering practical examples and a solid understanding of various algorithms.

  • Self-Learners

    Suitable for individuals interested in self-learning machine learning concepts and applications through a structured handbook.

Not Suitable For
  • Advanced ML Experts

    Not suitable for seasoned machine learning professionals seeking in-depth, cutting-edge research or advanced topics.

  • Non-Technical Users

    May not be appropriate for those without a technical background, as concepts could be challenging to grasp.

  • Quick Reference Seekers

    Not ideal for users looking for a quick reference guide, as it is more comprehensive and detailed.

DESCRIPCIÓN DEL PRODUCTO

Machine Learning Algorithms: Handbook

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • pregunta: What topics are covered in the Machine Learning Algorithms: Handbook?

    responder: The Machine Learning Algorithms: Handbook covers a broad range of essential topics including supervised and unsupervised learning, popular algorithms, feature selection, model evaluation techniques, and practical applications. It elaborates on various algorithms like decision trees, neural networks, and clustering techniques, providing not just theoretical insights but also practical examples. This comprehensive approach allows readers to apply what they've learned to real-world scenarios, making it ideal for both students and professionals seeking to deepen their understanding of machine learning.
  • pregunta: Who is the target audience for this handbook?

    responder: The handbook is designed for a diverse audience including students, data scientists, software engineers, and tech enthusiasts. Beginners will find clear explanations and fundamental concepts, while experienced practitioners can benefit from advanced topics and in-depth discussions on algorithm efficiencies and applications. This makes it a versatile resource for anyone looking to enhance their skills in machine learning.
  • pregunta: Are there practical examples included in the book?

    responder: Yes, the Machine Learning Algorithms: Handbook includes practical examples and case studies that illustrate real-world applications of machine learning algorithms. Each algorithm discussed is accompanied by examples that show how to implement them in various scenarios, such as predicting housing prices or image classification. This hands-on approach helps readers connect theoretical concepts with practical implementations, enhancing their learning experience.
  • pregunta: How is the content structured in the handbook?

    responder: The content is meticulously structured, beginning with foundational concepts before progressing to advanced topics. Each section builds upon the last, allowing readers to gradually develop their understanding. Chapters are organized by algorithm type, providing a coherent flow that makes it easy to reference specific topics as needed. This logical structure is beneficial for readers who may want to revisit specific sections as they apply what they’ve learned.
  • pregunta: Is this handbook suitable for self-study?

    responder: Absolutely! The Machine Learning Algorithms: Handbook is well-suited for self-study with its clear explanations, well-defined chapters, and practice problems. Readers can navigate the content at their own pace, revisiting sections as needed to reinforce their understanding. The inclusion of examples and exercises provides a practical angle for learners who prefer to grasp complex concepts independently.
  • pregunta: What kind of algorithms can I expect to learn about?

    responder: Expect to learn about a variety of algorithms including regression analysis, classification algorithms like SVM and logistic regression, clustering methods like K-means, and advanced topics such as deep learning frameworks. The book details how each algorithm works, their strengths and weaknesses, and when to use them. This broad coverage prepares readers to select the right algorithm for their specific data science tasks.
  • pregunta: Are there any prerequisites for reading this handbook?

    responder: While the handbook is accessible to beginners, a fundamental understanding of programming and basic statistics will enhance the reading experience. Familiarity with Python or R can be particularly beneficial, especially since many examples use these programming languages. This baseline knowledge ensures that readers can fully engage with the material and apply the concepts discussed effectively.
  • pregunta: How does this handbook compare to other machine learning books?

    responder: The Machine Learning Algorithms: Handbook stands out due to its comprehensive content and clear explanations. Unlike other books that may focus solely on theory, this handbook is rich in practical examples and real-world applications which help bridge the gap between theory and practice. This unique combination makes it a valuable addition to any machine learning enthusiast’s library, especially for those looking for actionable insights.
  • pregunta: Will this handbook be updated in the future?

    responder: As the field of machine learning is continuously evolving, updates to the handbook are likely to occur in subsequent editions. Future updates may include new algorithms, case studies, and advancements in technology to keep the content relevant. This commitment to continuous improvement ensures that readers always have access to the latest information, techniques, and best practices in the field.
  • pregunta: Where can I buy Machine Learning Algorithms: Handbook Paperback in Spain?

    responder: You can purchase the Machine Learning Algorithms: Handbook Paperback on Ubuy. Ubuy offers a reliable platform for buying a wide range of books, including the latest titles. By visiting their website, you'll find options tailored to your location in Spain, making it a convenient choice for your reading needs.

Intelligence & Semantics 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

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9,000 + reviews
Read reviews
MT
Mohd
Verified buyer

“The product received very good packaging & safe…Thank You”

16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer

“Accurate delivery timing given”

16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer

“Not madly expensive like I thought, and much quicker than promised.”

15 June 2026 · via Trustpilot
LM
Leila
Verified buyer

“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”

6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer

“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”

12 June 2026 · via Trustpilot
Pago seguro Global Delivery Devoluciones fáciles Genuine Products

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.

€ 45

Haz tu pedido ahora y recíbelo el Sunday, Agosto 02

QTY:

Transacción seguraTransacción segura

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Nuestros mejores socios logísticos
  • fedex
  • dhl
Entrega transfronteriza más rápida

Características y beneficios

  • Clear and concise explanations of machine learning algorithms
  • Practical examples using Python and code snippets
  • Covers a wide array of algorithms
  • Teaches how to evaluate and optimize model performance
  • Critical elements for building robust machine learning models
  • Explores advanced algorithms for time series data

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.