- الصفحة الرئيسية /
- الكتب /
- الكمبيوتر والتكنولوجيا /
- علوم الكمبيوتر /
- AI & Machine Learning /
- Intelligence & Semantics /
- Hands-On Machine Learning with Scikit-Learn, ...
0 ratings
منتج #:
81840220
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
87% من المشترين سيوصون بهذا المنتج لصديق
منتج #:
81840220
LYD 426
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
متوفر فى المخزون
مستورد من متجر USA
كمية:
اطلب الآن واحصل عليه حول الخميس, أكتوبر 15
معاملة آمنة
تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية
أفضل شركائنا اللوجستيين
This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
أبرز ما يلفت الانتباه
Comprehensive Content
Covers a wide range of machine learning concepts, from fundamentals to advanced techniques, ensuring readers gain a thorough understanding and practical skills to build intelligent systems.
Hands-On Approach
Emphasizes practical learning through projects and real-world examples, allowing readers to apply theories and tools like Scikit-Learn, Keras, and TensorFlow effectively.
Updated Edition
The third edition includes the latest advancements in machine learning, ensuring users are equipped with current knowledge and tools to tackle modern challenges in the field.
تفاصيل المنتج
- Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.Use Scikit-learn to track an example ML project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
| Publisher | O'Reilly Media |
| Publication date | October 4, 2022 |
| Edition | 3rd |
| Language | English |
| File size | 28.1 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 1447 pages |
| ISBN-13 | 978-1098122461 |
| Page Flip | Enabled |
| Item Weight | 2.5 lbs (1.13 kg) |
من يجب أن يشتري؟
-
Aspiring Data Scientists
Designed for individuals eager to learn practical machine learning skills through step-by-step projects and example code.
-
AI Enthusiasts
Ideal for hobbyists or professionals looking to enhance their knowledge in artificial intelligence and deep learning frameworks.
-
Developers Transitioning
Perfect for software developers wanting to transition into data science with hands-on, applied learning in Python.
-
Absolute Beginners
Not suitable for those with no programming experience or foundational knowledge in machine learning concepts.
وصف المنتج
هل لديك أي استفسار؟ تحدث معنا
أسئلة العملاء & الإجابات
-
سؤال:
What topics does the 3rd edition of Hands-On Machine Learning cover?
إجابه: The 3rd edition covers a comprehensive range of topics in machine learning, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning. It emphasizes practical applications using Scikit-Learn, Keras, and TensorFlow. By leveraging these tools, readers can explore real-world scenarios such as image classification, predictive modeling, and time-series forecasting. This edition also includes updated content reflecting the latest advancements in the field, making it an essential resource for both beginners and seasoned practitioners. -
سؤال:
Who is the target audience for this book?
إجابه: This book is ideal for data scientists, machine learning enthusiasts, and software engineers looking to deepen their understanding of intelligent systems. With its hands-on approach, it caters to both beginners who have little to no programming experience and experienced practitioners seeking to enhance their skills. Readers can benefit from clear explanations, extensive code examples, and practical exercises, which make it easier to grasp complex concepts and apply them in real-world projects. -
سؤال:
What programming languages are used in Hands-On Machine Learning?
إجابه: The primary programming language used in Hands-On Machine Learning is Python. With its rich ecosystem of libraries like Scikit-Learn, Keras, and TensorFlow, Python is the go-to language for machine learning and data science. The book offers a step-by-step guide, making it accessible for those who may not have extensive programming backgrounds. Readers can expect to complete practical exercises that reinforce their learning through coding implementations, enabling them to build intelligent systems. -
سؤال:
Are there any prerequisites for reading this book?
إجابه: While the book is designed to be accessible, it is beneficial for readers to have a basic understanding of Python programming and fundamental mathematical concepts such as statistics and linear algebra. Familiarity with machine learning concepts is advantageous but not essential, as the book starts with the foundational principles before progressing to more advanced topics. For best results, readers should dedicate time to practice coding exercises featured throughout the chapters. -
سؤال:
What new features can be found in the 3rd edition?
إجابه: The 3rd edition of Hands-On Machine Learning introduces new features like updated code examples for the latest versions of libraries, additional chapters on emerging techniques such as generative adversarial networks (GANs), and insightful case studies showcasing advanced applications. The book also offers clearer explanations and hands-on exercises designed to reinforce learning. Additionally, it includes practical tips and best practices for deploying machine learning models in production environments, making it a cutting-edge resource for practitioners. -
سؤال:
Can this book help me prepare for data science interviews?
إجابه: Yes, this book is an excellent resource for preparing for data science interviews as it covers fundamental concepts and practical applications of machine learning. It equips readers with the necessary skills to tackle common interview questions related to algorithm design, model evaluation, and data handling. By working through the exercises and projects, readers can build a solid portfolio that demonstrates their proficiency in hands-on machine learning techniques, helping them stand out in competitive job markets. -
سؤال:
What practical applications does this book explore?
إجابه: Hands-On Machine Learning explores various practical applications, including image recognition, fraud detection, recommendation systems, and natural language processing tasks. Each chapter emphasizes a specific real-world problem, showcasing how machine learning techniques can provide effective solutions. By applying the concepts learned in this book, readers can develop projects that have tangible benefits in diverse industries, enabling them to put their skills into practice and gain valuable experience. -
سؤال:
How can I access the code and resources associated with the book?
إجابه: Readers can access code and resources associated with Hands-On Machine Learning through the author's official GitHub repository. The repository includes complete code samples, datasets, and additional materials that complement the content of the book. By following along with the coding exercises and projects, readers can deepen their understanding of machine learning concepts and apply them effectively. This interactive approach enhances the learning experience, making it more engaging and effective. -
سؤال:
What distinguishes this book from other machine learning resources?
إجابه: What sets Hands-On Machine Learning apart is its practical, project-based approach and comprehensive coverage of popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow. The instructional style is engaging and includes both theoretical foundations and hands-on exercises, allowing readers to not just learn, but apply their knowledge in real-world scenarios. This balance between theory and practice makes it an invaluable resource for aspiring data scientists and machine learning practitioners. -
سؤال:
Where can I buy Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow in Libya?
إجابه: You can purchase Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 3rd Edition on Ubuy. Ubuy is a reliable platform that offers a wide selection of books and can help you find this specific title easily. With Ubuy, you will enjoy an efficient shopping experience and access to various related products.
Intelligence & Semantics Editorial Review
The "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition" Kindle edition has garnered mostly positive reviews. Customers have expressed that it is an excellent book for those studying machine learning and data science. It is particularly commended for its comprehensive coverage and clear illustrations of relevant topics. However, some reviewers voiced concerns about the quality of the physical book they received. The book has been recommended for both beginners and experts in the field. A customer with a solid background in Python programming expressed that it is necessary to fully comprehend the content. Despite the praise, there were mentions of the book's sentences being ambiguous and the style not being concise enough, prompting readers to seek external sources for clarity. **
مراجعات العملاء وتقييماتهم
898 تقييمات العملاء
-
5 نجمة
82%
-
4 نجمة
11%
-
3 نجمة
3%
-
2 نجمة
1%
-
1 نجمة
3%
أضف تقييم لهذا المنتج
شارك أفكارك مع عملاء آخرين
إيجابيات
- Comprehensive coverage of relevant topics
- Clear illustrations and in-depth explanations
- Suitable for both beginners and experts
سلبيات
- Some readers found the writing style ambiguous and not concise
منصة موثوقة وثقة كاملة للمشتري
JK
Jasmin
مشتري موثّق
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · عبر Trustpilot
AG
Anke
مشتري موثّق
“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 · عبر Trustpilot
H
Hazel
مشتري موثّق
“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 · عبر Trustpilot
O
Opaleye
مشتري موثّق
“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 · عبر Trustpilot
AC
Adele
مشتري موثّق
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · عبر Trustpilot
الخروج الآمن
شحن عالمي
إسترجاع سهل
منتجات أصلية
تاريخ سعر المنتج
معلومات مهمة
- القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
- ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.
LYD 426
اطلب الآن واحصل عليه حول الخميس, أكتوبر 15
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
كمية:
معاملة آمنة
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
أفضل شركائنا اللوجستيين
أسرع توصيل عبر الحدود
المميزات والفوائد
- Gain intuitive understanding through concrete examples and minimal theory
- Utilize production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow)
- Learn a range of techniques from simple linear regression to deep neural networks
- Get hands-on with numerous code examples and exercises throughout the book
- Suitable for programmers with some prior programming experience
- Explore various models, unsupervised learning techniques, and neural net architectures
ضمان Ubuy
تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.