0 ratings
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

STD 1405695

Detalhes do Preço

Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados na finalização da compra )

*Todos os artigos serão importados de EUA

Em stock
EUA Importado da loja USA

Qtd.:

Encomende já e receba por volta de Quarta-feira, Setembro 16
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 COMPRAR 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 São Tomé and Príncipe. 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.

DESCRIÇÃO DO PRODUTO

Machine Learning Algorithms: Handbook

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

  • 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 São Tomé and Príncipe?

    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 São Tomé and Príncipe, making it a convenient choice for your reading needs.

Intelligence & Semantics Editorial Review

The "Machine Learning Algorithms: Handbook" is receiving positive feedback from customers. Readers appreciate the clear and easy-to-understand explanations of machine learning algorithms, along with the accompanying code implementations. The inclusion of bonus chapters on neural networks and a comprehensive explanation of important hyperparameters for all algorithms is also well-received. Reviewers note that the book is great for beginners, providing a simple and concise handbook for those looking to gain a clear understanding of machine learning concepts. Despite the higher price, readers feel that the usage and print quality justify the cost. Additionally, followers of the author's projects find the book to be exceptional and are looking forward to more similar publications in the future.

Avaliações e Classificações dos Clientes

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

Prós

  • Clear and easy-to-understand explanations
  • In-depth code implementations
  • Bonus chapters on neural networks
  • Comprehensive explanation of important hyperparameters
  • Great for beginners

Contras

  • Higher price than other similar books

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

trustpilot logo
4.2/5 9250 + reviews
Ler avaliações
MA
Mohammad
Comprador verificado

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Comprador verificado

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Comprador verificado

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Comprador verificado

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Comprador verificado

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Checkout Seguro Entrega Global Devoluções Fáceis Produtos Genuínos

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.