Número do item:
218689248
Mathematics for Machine Learning
90% of respondents would recommend this to a friend
Número do item:
218689248
R$ 421
Detalhes do preço
Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados no checkout )
*Todos os itens serão importados de EU
0 ratings
Escreva uma avaliação
Em estoque
Importado de loja dos EU
Qtd.:
Peça agora e receba por volta de Sexta, Outubro 09
Transação Segura
A Ubuy trabalha para proteger sua segurança e privacidade. Nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao criptografar suas informações durante a transmissão usando os protocolos AES (Advanced Encryption Standards) e SSL (Secure Socket Layer). Seus dados de pagamento estão 100% seguros, pois não compartilhamos suas informações com vendedores terceiros.
Nossos principais parceiros logísticos
This self-contained textbook bridges the gap between mathematical and machine learning texts by introducing mathematical concepts with a minimum of prerequisites.
Envio
rápido
Devolução
gratuita*
Embalagem segura
Produtos 100% originais
Conformidade com PCI DSS
Certificado ISO 27001
Note: Step Up Voltage Transformer required for using electronics products of Germany store (230 V). Recommended power converters COMPRAR AGORA.
Destaques do Produto
Comprehensive Coverage
Covers essential mathematics concepts crucial for machine learning, making it accessible for beginners while providing depth for advanced practitioners, ensuring a well-rounded understanding of the subject.
Practical Applications
Emphasizes real-world applications and examples, helping users to directly relate mathematical concepts to machine learning problems, enhancing retention and practical skill development.
Interactive Learning
Incorporates interactive elements such as exercises and quizzes, fostering an engaging learning environment that promotes active participation and reinforces understanding of complex mathematical ideas.
Detalhes do produto
| Publisher | Cambridge University Press |
| Publication date | 23 April 2020 |
| Language | English |
| Print length | 390 pages |
| ISBN-10 | 110845514X |
| ISBN-13 | 978-1108455145 |
| Dimensions | 17.78 x 2.24 x 25.4 cm |
| Part of series | Studies in Natural Language Processing |
Para quem é indicado?
-
Aspiring Data Scientists
Ideal for those starting in data science, needing foundational math concepts relevant to machine learning applications.
-
Engineers Transitioning Fields
Beneficial for engineers looking to pivot into machine learning and requiring a solid understanding of mathematical principles.
-
Self-Learners
Perfect for self-motivated individuals seeking structured learning resources to grasp the mathematical aspects of machine learning.
-
Complete Beginners
Not suitable for those with no prior mathematical background, as some concepts may be too advanced to understand.
DESCRIÇÃO DO PRODUTO
Mathematics for Machine Learning
About This Item
Introducing the Mathematics for Machine Learning 1st Edition As the field of machine learning continues to revolutionize various industries, it is essential to have a solid understanding of the mathematical concepts that underpin this powerful technology. The Mathematics for Machine Learning 1st Edition is a comprehensive textbook that covers all the key mathematical foundations needed for successful implementation and application of machine learning algorithms. With endorsements from esteemed experts in the field, such as Joelle Pineau from McGill University and Christopher Bishop from Microsoft Research Cambridge, this book comes highly recommended for both beginners and experienced machine learning researchers and engineers. This self-contained textbook is designed to be accessible to a wide range of readers, with a minimum of prerequisites. It starts with a thorough introduction to linear algebra, which serves as the basis for many machine learning techniques.
From there, it delves into topics such as analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics – all of which are crucial for developing a strong understanding of machine learning algorithms. Whether you are a student, a colleague, or simply someone interested in building a solid foundation in machine learning, this book will be an invaluable resource. It presents the necessary mathematical concepts in a clear and concise manner, making it easy to grasp complex ideas and apply them to real-world scenarios. The Mathematics for Machine Learning 1st Edition is not just a tutorial; it is a comprehensive reference text that you can turn to time and time again. It will help you gain a deeper understanding of the mathematical principles behind machine learning algorithms, enabling you to unlock the full potential of this transformative technology. Don't miss out on this essential resource for anyone interested in machine learning.
Order your copy of the Mathematics for Machine Learning 1st Edition today and take your understanding of this exciting field to new heights.
Tem alguma dúvida? Fale conosco pelo chat
Perguntas e respostas do cliente
-
Pergunta:
What are the central machine learning methods discussed in the book?
Resposta: Linear regression, principal component analysis, Gaussian mixture models and support vector machines. -
Pergunta:
Are there prerequisites needed for understanding the mathematical concepts?
Resposta: No, the book introduces mathematical concepts with a minimum of prerequisites. -
Pergunta:
Where can programming tutorials be accessed?
Resposta: Programming tutorials are offered on the book's web site.
English edition Marc Peter Deisenroth Format: Paperback Editorial Review
**** "Mathematics for Machine Learning" has garnered Considerable attention from readers, particularly those with an academic background in computer science or related fields. Many customers appreciate the clarity and relevance of the mathematical concepts presented, praising it as one of the best resources for understanding the mathematics crucial for machine learning applications. The book addresses a variety of topics, including vectors, matrices, linear algebra, and probability theory, and presents them in a structured manner that balances theory and practical applications. Readers commend its engaging writing style, which makes complex mathematical ideas more accessible, particularly for those with a foundational understanding of math. The book includes practical examples that relate directly to machine learning, which helps reinforce the theoretical concepts. Additionally, exercises with solutions available on GitHub enhance the learning experience, allowing readers to test their comprehension. However, some feedback suggests that the book may not fully align with its claim of being suitable for "evening learners," as it introduces advanced topics that might require a stronger mathematical foundation than merely high school mathematics. A few readers found the theoretical sections somewhat dense, with a lack of seamless integration between concepts and exercises, which may hinder understanding for some learners. While it is acknowledged that the book provides essential mathematical tools for the development of machine learning skills, clarity and pedagogical coherence were points of contention for several users. Overall, "Mathematics for Machine Learning" is well-received by those looking to deepen their understanding of the mathematical underpinnings of machine learning, though it may require a certain level of mathematical maturity for optimal comprehension. **
Comentários e avaliações dos clientes
1 Avaliações dos clientes
-
5 Estrela
100%
-
4 Estrela
0%
-
3 Estrela
0%
-
2 Estrela
0%
-
1 Estrela
0%
Avalie este produto
Compartilhe sua opinião com outros clientes
Prós
- Clear and well-structured presentation of essential mathematical concepts.
- Strong focus on practical applications relevant to machine learning.
- Engaging writing style that makes the material enjoyable to read.
- Includes exercises with solutions to facilitate self-testing and learning.
Contras
- May be too advanced for individuals without a solid mathematical foundation.
CONFIANÇA NA PLATAFORMA E PROTEÇÃO AO COMPRADOR
JK
Jasmin
Comprador verificado
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Comprador verificado
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Comprador verificado
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Comprador verificado
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Comprador verificado
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Finalize de forma segura
Entrega global
Devoluções Fáceis
Produtos originais
Histórico de preço do produto
Informações importantes
- Limitações: para envios internacionais de produtos, observe que qualquer garantia do fabricante pode não ser válida; as opções de serviço do fabricante podem não estar disponíveis; manuais, instruções e avisos de segurança do produto podem não estar no idioma do país de destino; os produtos (e os materiais que os acompanham) podem não ser projetados de acordo com os padrões, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem do país de destino e outros padrões elétricos (exigindo o uso de um adaptador ou conversor, se apropriado). O destinatário é responsável por garantir que o produto possa ser importado legalmente para o país de destino. Ao fazer o pedido no Ubuy ou em suas afiliadas, o destinatário é o importador do registro e deve cumprir todas as leis e regulamentos do país de destino.
- Nem todos os produtos listados no Ubuy estão à venda, pois o Ubuy é um mecanismo de busca global. Os produtos estão sujeitos às regulamentações de exportação/comércio.
R$ 421
Peça agora e receba por volta de Sexta, Outubro 09
Este item não é restrito no meu país. (Por favor clique no link acima se este item não for restrito em seu país para análise por parte da nossa equipe e permissão de envio).
Qtd.:
Transação Segura
Em conformidade com o PCI DSS e com certificação ISO 27001:2022, com pagamentos criptografados e proteção total ao comprador em todos os pedidos.
Nossos principais parceiros logísticos
Entrega internacional mais rápida
Características e benefícios
- Fundamental mathematical tools needed to understand machine learning
- Self-contained textbook for building intuition and practical experience
- Bridges gap between mathematical and machine learning texts
- Introduces mathematical concepts with a minimum of prerequisites
- Chapter exercises and programming tutorials available on the book's website
Garantia Ubuy
Tenha uma experiência de compra tranquila e sem preocupações, com produtos 100% originais, segurança de pagamento em conformidade com o padrão PCI DSS, proteção de dados certificada pela ISO 27001, a entrega internacional mais rápida, devoluções gratuitas e embalagem segura em todos os pedidos.*