Ver Original
0 ratings
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
genuine image
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Machine Learning will set a new standard as an introductory textbook.
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Artigo n.º: 62638

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Artigo n.º: 62638

STD 864930

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
Encomende já e receba por volta de Quinta-feira, Julho 30
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
Machine Learning will set a new standard as an introductory textbook.
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 book offers a thorough exploration of machine learning principles, techniques, and algorithms, making it ideal for both beginners and experienced practitioners seeking to deepen their understanding of data-driven decision-making.
Practical Examples
Rich in real-world applications, the book illustrates how algorithms function in various scenarios, enabling readers to grasp complex concepts while providing insights into effective problem-solving strategies in data analysis.
Expert Insights
Authored by leading experts, the text provides valuable perspectives on current trends and future directions in machine learning, equipping readers with knowledge that enhances their skills and marketability in the rapidly evolving tech landscape.

Detalhes do produto

Discover the best deals on Machine Learning 1st Edition at Ubuy São Tomé and Príncipe. Easy to use and simple. Support Windows 7/XP 32/64-bit systems. Plug and play with HID technology. Shop now!
  • Comprehensive coverage of machine learning principles and techniques
  • Clear, example-based approach with case studies and illustrations
  • Covers logical, geometric, and statistical models, as well as advanced topics like matrix factorization and ROC analysis
  • Emphasizes the central role of features and balances established terminology with new concepts
  • Includes summaries of relevant background material and pointers for revision
  • Sets a new standard as an introductory textbook in the field
Item Weight2 lbs (910 grams)

Quem Deverá Comprar?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking a fundamental understanding of machine learning concepts and algorithms in data analysis.

  • Academic Researchers

    Useful for researchers wanting to explore the theoretical underpinnings and applications of algorithms in various disciplines.

  • Industry Professionals

    Beneficial for professionals looking to enhance their skills in machine learning and implement practical solutions in their work.

Not Suitable For
  • Complete Beginners

    May be too technical for those with no prior knowledge of machine learning or programming concepts and terminology.

  • Advanced Practitioners

    Lacks depth for experienced data scientists seeking advanced techniques and the latest trends in machine learning.

  • Casual Readers

    Not suitable for general audiences looking for light reading as it focuses heavily on technical content and algorithms.

DESCRIÇÃO DO PRODUTO

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Tem alguma Dúvida? Converse connosco

Perguntas e Respostas dos Clientes

  • pergunta: What is the core subject of 'Machine Learning: The Art and Science of Algorithms that Make Sense of Data'?

    Resposta: The book focuses on the principles and methodologies of machine learning, illustrating how algorithms process and learn from data. It delves into various types of algorithms—supervised, unsupervised, and reinforcement learning—showcasing real-world applications in fields like finance, healthcare, and artificial intelligence. By bridging theory and practical use cases, it helps readers understand how to harness the power of data effectively.
  • pergunta: Who is the intended audience for this book?

    Resposta: This book is aimed at a diverse audience including students, researchers, and professionals in data science and machine learning. It's particularly valuable for those who possess a foundational understanding of programming and statistics, as it discusses complex algorithms in an accessible manner. Readers looking to enhance their skills or transition into data science will find this resource insightful.
  • pergunta: What are some key topics covered in the book?

    Resposta: Key topics include algorithm design, model evaluation, and practical tools for data analysis. It covers essential concepts like decision trees, neural networks, and clustering techniques, providing a holistic view of machine learning. Furthermore, the book discusses challenges faced in data-driven decision making, empowering readers with the knowledge to tackle real-world problems effectively.
  • pergunta: How does this book differentiate from other machine learning texts?

    Resposta: This book uniquely combines theoretical frameworks with hands-on applications, making complex concepts comprehensible. Unlike many texts that focus solely on technical details or math, it emphasizes real-world scenarios where these algorithms can be applied. This practical approach helps readers not only learn the 'how' but also understand the 'why' behind machine learning techniques.
  • pergunta: Are there any coding exercises included in the book?

    Resposta: Yes, the book includes various coding exercises and examples that facilitate practical learning. These exercises help reinforce understanding by allowing readers to implement algorithms using popular programming languages like Python. By working through these examples, readers can gain confidence in applying machine learning techniques to their own datasets, thus enhancing their hands-on skills.
  • pergunta: What prerequisites should a reader have before diving into this book?

    Resposta: Readers are recommended to have a basic understanding of programming and familiarity with statistics and linear algebra. Knowledge of Python or R is beneficial to fully engage with the coding examples presented. This foundational knowledge enables readers to appreciate the algorithms and techniques discussed, ensuring a smoother learning curve.
  • pergunta: Can this book be used as a textbook for a data science course?

    Resposta: Absolutely! This book serves as a great textbook for university-level data science courses. Its clear explanations and structured approach make it suitable for classroom settings, offering both theoretical insights and practical exercises. Additionally, instructors can utilize the book as a reference for assigning projects that challenge students to apply machine learning concepts.
  • pergunta: What is the importance of learning about algorithms in machine learning?

    Resposta: Understanding algorithms is crucial for developing effective machine learning models that can extract insights from data. Each algorithm has its strengths and weaknesses, and knowing which one to apply under specific conditions can significantly impact the outcome. By mastering the art and science of these algorithms, practitioners can optimize performance across various applications, from predictive analytics to automated decision-making.
  • pergunta: What real-world applications are discussed in the book?

    Resposta: The book highlights real-world applications of machine learning in sectors such as healthcare, finance, and e-commerce. For example, it discusses how algorithms are used for diagnosing diseases, optimizing stock trading strategies, and personalizing customer experiences. These case studies demonstrate the practical impact of machine learning, showing readers how to leverage data effectively in various industries.
  • pergunta: Where can I buy 'Machine Learning: The Art and Science of Algorithms that Make Sense of Data 1st Edition' in São Tomé and Príncipe?

    Resposta: You can purchase 'Machine Learning: The Art and Science of Algorithms that Make Sense of Data 1st Edition' on Ubuy in São Tomé and Príncipe. Ubuy offers a broad selection of products and can provide access to this insightful book, making it easier for you to obtain the resources needed for your machine learning journey.

Computer Vision & Pattern Recognition Editorial Review

The 1st Edition of "Machine Learning" by Peter Flach has garnered mixed reviews from readers. Some readers find the book overly focused on mathematical rigor and lacking in coverage of modern deep learning concepts. They criticize the book for diving into complex jargon without providing much value, particularly for those new to machine learning. The subtitle "the art and science of algorithms that make sense of data" is Considered misleading, as the book is seen as more focused on mathematical foundations rather than practical algorithms. However, on the positive side, some readers appreciate the book's comprehensive coverage of machine learning algorithms, with a detailed division by genre. They find it suitable for teaching purposes and appreciate the different perspective it offers, with a focus on mathematics and statistics rather than business problem-solving. It is also Considered highly readable and praised for effectively explaining complex concepts. Overall, the book is recommended for individuals with a strong mathematical background and those who want to gain a deep understanding of the theoretical concepts behind machine learning algorithms. However, it may not be suitable as a first book for those seeking a more practical, overview of machine learning algorithms and their use cases.

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

Prós

  • Comprehensive coverage of machine learning algorithms
  • Detailed division of algorithms by genre
  • Highly readable and well-explained concepts
  • Different perspective focusing on mathematics and statistics

Contras

  • Overemphasis on mathematical rigor, lacking in coverage of modern deep learning concepts

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.

STD 864930

Encomende já e receba por volta de Quinta-feira, Julho 30

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

  • Comprehensive machine learning text
  • Example-based approach
  • Case studies of increasing complexity
  • Covering logical, geometric and statistical models
  • State-of-the-art topics included
  • Emphasis on the central role of features

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.