Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
genuine image
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Nº de artículo: 92488569

Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases

Nº de artículo: 92488569

HNL 1088

HNL 1620

Price Details

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

*All items will import from Estados Unidos

33%

En stock
Estados Unidos Importado de la tienda USA

QTY:

Solo quedan 4 artículos en stock.
Haz tu pedido ahora y recíbelo por ahí Martes, Agosto 25
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
Mostrar más
Garantía U-Care:
Ninguno
Selecciona un plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment

What Stands Out

Practical Learning
Gain hands-on experience with real-world examples, enhancing your understanding of machine learning concepts through practical application and best practices for varied scenarios.
Comprehensive Coverage
Explore a wide range of machine learning techniques and algorithms, ensuring you are equipped with the knowledge to tackle diverse challenges across industries.
Updated Resources
Leverage the latest strategies and approaches in machine learning, with updates reflecting current trends and technologies to ensure relevance in a fast-evolving field.

Detalles de producto

Shop Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases online at a best price in Honduras. 1835085628
  • Author Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandas.Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesDiscover new and updated content on NLP transformers, PyTorch, and computer vision modelingIncludes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutionsImplement ML models, such as neural networks and linear and logistic regression, from scratchBook DescriptionThe fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.What you will learnFollow machine learning best practices throughout data preparation and model developmentBuild and improve image classifiers using convolutional neural networks (CNNs) and transfer learningDevelop and fine-tune neural networks using TensorFlow and PyTorchAnalyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIPBuild classifiers using support vector machines (SVMs) and boost performance with PCAAvoid overfitting using regularization, feature selection, and moreWho this book is forThis expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.Table of ContentsGetting Started with Machine Learning and PythonBuilding a Movie Recommendation EnginePredicting Online Ad Click-Through with Tree-Based AlgorithmsPredicting Online Ad Click-Through with Logistic RegressionPredicting Stock Prices with Regression AlgorithmsPredicting Stock Prices with Artificial Neural NetworksMining the 20 Newsgroups Dataset with Text Analysis TechniquesDiscovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic ModelingRecognizing Faces with Support Vector MachineMachine Learning Best PracticesCategorizing Images of Clothing with Convolutional Neural NetworksMaking Predictions with Sequences Using Recurrent Neural NetworksAdvancing Language Understanding and Generation with Transformer ModelsBuilding An Image Search Engine Using Multimodal ModelsMaking Decisions in Complex Environments with Reinforcement Learning
Publisher Packt Publishing
Publication date July 31, 2024
Edition 4th
Language English
Print length 518 pages
ISBN-10 1835085628
ISBN-13 978-1835085622
Item Weight 2.12 pounds (960 grams)
Dimensions 7.5 x 1.19 x 9.25 inches (19.1 x 3 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners looking to build practical machine learning skills through real-world examples and easy-to-follow instructions.

  • Practical Learners

    Great for those who prefer hands-on learning to grasp complex concepts through practical applications and case studies.

  • Professionals Seeking Skills

    Beneficial for working professionals who want to enhance their machine learning knowledge with applicable examples for the industry.

Not Suitable For
  • Total Newcomers

    Not suitable for absolute beginners with no programming knowledge or prior understanding of machine learning concepts.

DESCRIPCIÓN DEL PRODUCTO

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • Pregunta: What is the focus of 'Python Machine Learning By Example'?

    Respuesta: 'Python Machine Learning By Example' primarily focuses on practical applications of machine learning using Python. The book highlights real-world scenarios and case studies, making complex concepts accessible to beginners. Readers gain insights into machine learning best practices through hands-on examples. This approach helps learners acquire both theoretical knowledge and practical skills, making it suitable for those who prefer learning through doing rather than just theoretical explanations.
  • Pregunta: Who is the target audience for this book?

    Respuesta: This book is designed for a diverse audience, including aspiring data scientists, machine learning practitioners, and developers looking to expand their skills in Python. Whether you are a beginner wanting to understand machine learning basics or an experienced programmer seeking to implement advanced techniques, this book provides valuable insights and practical examples tailored to different skill levels.
  • Pregunta: What programming knowledge do I need before reading this book?

    Respuesta: Having a foundational understanding of Python programming is essential before diving into 'Python Machine Learning By Example.' While the book starts with basic concepts, familiarity with Python syntax, data structures, and libraries will enhance your learning experience. This prior knowledge enables you to quickly grasp machine learning algorithms and directly apply them in practical scenarios illustrated in the book.
  • Pregunta: What kind of real-world use cases are included?

    Respuesta: The book presents various real-world use cases, including predictive analytics, image recognition, and natural language processing. For example, readers will learn how to build a spam classifier using logistic regression or develop a simple recommendation system. These practical examples help bridge the gap between theory and practice, allowing readers to visualize the impact of machine learning in everyday applications.
  • Pregunta: Does the book cover the latest machine learning techniques?

    Respuesta: 'Python Machine Learning By Example' includes updated content on contemporary machine learning techniques and tools. The 4th edition reflects advancements in libraries like TensorFlow and Scikit-learn, allowing readers to explore modern practices. By featuring the latest trends, the book prepares you to tackle current challenges and effectively apply new technologies in real-world projects.
  • Pregunta: Can I use this book for self-study?

    Respuesta: Absolutely! 'Python Machine Learning By Example' is an excellent resource for self-study. Each chapter is structured to lead readers through practical exercises, making it simple to follow along. The step-by-step approach encourages you to implement techniques right away, which reinforces learning. Additionally, the problems and examples at the end of each chapter provide an opportunity for you to test your understanding and boost your skills.
  • Pregunta: Is this book suitable for experienced data scientists?

    Respuesta: Yes, experienced data scientists can also benefit from 'Python Machine Learning By Example.' The book serves as a refresher on machine learning concepts and provides practical implementation examples that may enhance your existing knowledge. Additionally, the diverse range of case studies can inspire new ideas or strategies for tackling real-world machine learning challenges you may encounter in your projects.
  • Pregunta: What Python libraries are covered in this edition?

    Respuesta: 'Python Machine Learning By Example' covers several key Python libraries crucial for machine learning, including NumPy, Pandas, Scikit-learn, and Matplotlib. These libraries are essential tools for data analysis, manipulation, and visualization. By understanding how to use them effectively, readers can harness their power to create sophisticated machine learning models and analyze datasets in their applications.
  • Pregunta: Are there any prerequisites to understanding the case studies?

    Respuesta: While a basic understanding of Python is crucial, familiarity with data science fundamentals, like data preprocessing and basic algorithm concepts, will enhance your comprehension of the case studies in the book. Each case study builds on these foundations, showcasing how to apply machine learning techniques effectively. Engaging with these concepts beforehand will ensure you get the most out of the practical examples and applications shared.
  • Pregunta: Where can I buy Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases 4th Edition in Honduras?

    Respuesta: You can purchase 'Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases 4th Edition' through Ubuy. Ubuy offers a convenient platform for finding a variety of books and resources, including this essential guide for mastering machine learning with Python. They provide a user-friendly shopping experience, making it easy to get this book delivered to your location in Honduras.

Machine Theory Editorial Review

  • ubuy Honduras

**** "Python Machine Learning by Example" emerges as a standout resource for both newcomers and those looking to solidify their understanding of machine learning concepts through practical implementations. The fourth edition of this book is particularly welcoming for individuals who might be daunted by complex algorithms, as it excels in simplifying intricate topics with clear explanations paired with real-world use cases. Readers have noted the book's strong emphasis on best practices in machine learning, which is indispensable for aspiring data scientists, machine learning engineers, and analysts. The author not only teaches the "how" behind programming algorithms but delves into the "why," fostering a deeper comprehension of machine learning principles. Moreover, the inclusion of hands-on exercises utilizing popular frameworks such as PyTorch and TensorFlow enables readers to build their competencies through direct application of learned concepts. The book effectively covers a broad range of critical topics, from classification and regression techniques to advanced subjects like deep learning, natural language processing, and reinforcement learning. In doing so, it caters to a wide spectrum of interests and skill levels, ensuring it's relevant for entry-level enthusiasts as well as more experienced practitioners seeking to revisit foundational knowledge. Reviewers particularly appreciated the extensive array of practical examples, such as stock price predictions and image classification with convolutional neural networks (CNNs), which not only engage the reader but also solidify the book's teachings. The structured approach to presenting complex materials makes this book a valuable asset in the toolkit of anyone eager to navigate the evolving landscape of machine learning. Overall, "Python Machine Learning by Example" receives high praise for its accessibility, thorough content, and practical orientation, making it an essential read for those entering or looking to advance in the machine learning field. **

Customer Reviews & Ratings

77 valoraciones de los clientes
  • 5 estrella
    93%
  • 4 estrella
    4%
  • 3 estrella
    1%
  • 2 estrella
    1%
  • 1 estrella
    1%

Revisar este producto

Comparte tus ideas con otros clientes

ventajas

  • Comprehensive coverage of machine learning concepts with real-world examples
  • Clear explanations that simplify complex algorithms
  • Emphasis on best practices and hands-on exercises
  • Relevant for both beginners and experienced practitioners
  • Incorporates advanced topics like deep learning and NLP
  • Accessible coding exercises using popular frameworks (e.g., TensorFlow, PyTorch)

Contras

  • Some readers find the book outdated for the latest advancements in the field

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9250 + reviews
Read reviews
MA
Mohammad
Verified buyer

“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
Verified buyer

“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
Verified buyer

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

23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer

“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
Verified buyer

“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
Pago seguro Global Delivery Easy Returns Genuine Products

Product Price History

Información importante

  • Limitaciones: Para los productos enviados al extranjero, ten 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 los idiomas 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 del país de destino y a otras normas eléctricas (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. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
  • No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.

HNL 1088

HNL 1620

Haz tu pedido ahora y recíbelo por ahí Martes, Agosto 25

QTY:

Solo quedan 4 artículos en stock.
Secured transactionsecured transaction

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

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

características y beneficios

  • Comprehensive guide for all levels in machine learning.
  • Emphasizes machine learning best practices throughout.
  • Includes hands-on examples using PyTorch, TensorFlow, and scikit-learn.
  • Covers advanced techniques like NLP transformers and multimodal models.
  • Provides insights from an experienced Google ML engineer.
  • Free PDF copy included with print or Kindle purchase.

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.