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
Artigo n.º: 80060774

Machine Learning Algorithms: Handbook

Artigo n.º: 80060774

MZN 3170

Price Details

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

*All items will import from EUA

Em estoque
EUA Importado da loja USA

QTY:

Encomende já e receba por volta de Sunday, Agosto 02
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
  • 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.
Garantia U-Care:
Nenhuma
Selecione um plano
fast shipping

Fast
Shipping

free return

Devolução
gratuita*

Embalagem Segura

Embalagem Segura

Produtos 100% Originais

Produtos 100% Originais

pci-dss

Certificação PCI DSS

iso certified

Certificação ISO 27001

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

O que se 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.

Detalhes do produto

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

Quem Deverá Comprar?

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.

DESCRIÇÃO DO PRODUTO

Machine Learning Algorithms: Handbook

Tem alguma Dúvida? Converse connosco

Perguntas e Respostas dos Clientes

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

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

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

    Resposta: 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.
  • pergunta: How is the content structured in the handbook?

    Resposta: 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.
  • pergunta: Is this handbook suitable for self-study?

    Resposta: 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.
  • pergunta: What kind of algorithms can I expect to learn about?

    Resposta: 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.
  • pergunta: Are there any prerequisites for reading this handbook?

    Resposta: 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.
  • pergunta: How does this handbook compare to other machine learning books?

    Resposta: 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.
  • pergunta: Will this handbook be updated in the future?

    Resposta: 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.
  • pergunta: Where can I buy Machine Learning Algorithms: Handbook Paperback in Mozambique?

    Resposta: 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 Mozambique, making it a convenient choice for your reading needs.

Intelligence & Semantics Editorial Review

Nenhuma revisão editorial encontrada

Avaliações e Classificações dos Clientes

5.0
1 classificações de clientes
  • 5 Estrela
    100%
  • 4 Estrela
    0%
  • 3 Estrela
    0%
  • 2 Estrela
    0%
  • 1 Estrela
    0%

Avaliar este produto

Partilhe as suas ideias com outros 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
Checkout Seguro Global Delivery Devoluções Fáceis Genuine Products

Histórico de preços do produto

Informação importante

  • 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.

MZN 3170

Encomende já e receba por volta de Sunday, Agosto 02

QTY:

Transação seguraTransação segura

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

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Entrega internacional mais rápida

Recursos e benefícios

  • 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.