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- Machine Learning Engineering
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منتج #:
34764713
Machine Learning Engineering
86% من المشترين سيوصون بهذا المنتج لصديق
منتج #:
34764713
ILS 271
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
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معاملة آمنة
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You're looking at one of the few true Applied Machine Learning books out there.
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سريع
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مجاني*
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أبرز ما يلفت الانتباه
Print Replica Format
Offers an authentic reading experience by preserving the original layout, making it easier to follow complex diagrams and illustrations crucial for understanding machine learning concepts.
Kindle Accessibility
Accessible on multiple devices, allowing learners to study anytime, anywhere, with features like adjustable text size and built-in dictionary for enhanced comprehension.
Comprehensive Content
Covers essential machine learning principles, practical applications, and industry insights, equipping readers with valuable knowledge to excel in the ever-evolving tech landscape.
تفاصيل المنتج
| Publisher | True Positive Inc. |
| Publication date | September 8, 2020 |
| Language | English |
| Print length | 310 pages |
| ISBN-10 | 1777005469 |
| ISBN-13 | 978-1777005467 |
| Item Weight | 2.06 pounds (930 grams) |
| Dimensions | 7.5 x 1 x 9.25 inches (19.1 x 2.5 x 23.5 cm) |
من يجب أن يشتري؟
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Aspiring Engineers
Perfect for new machine learning engineers seeking structured guidance on practical applications and foundational concepts.
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Data Scientists
Ideal for data scientists looking to deepen their understanding of engineering practices in deploying machine learning solutions.
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Tech Students
Great resource for students studying data science or AI, providing insights into machine learning engineering methodologies.
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Beginners
Not suitable for absolute beginners with no background in programming or data science, as it assumes prior knowledge.
وصف المنتج
Machine Learning Engineering
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أسئلة العملاء & الإجابات
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سؤال:
What is the main focus of the Machine Learning Engineering book?
إجابه: The Machine Learning Engineering book primarily focuses on the practical application of machine learning techniques in engineering projects. It blends theory with hands-on applications, making it ideal for readers looking to implement machine learning in real-world scenarios. By providing case studies and detailed methodologies, the book equips practitioners with the necessary tools to build robust machine learning systems, enabling them to handle data preprocessing, model selection, and deployment effectively. -
سؤال:
Who is the target audience for this book?
إجابه: The target audience for the Machine Learning Engineering book includes data scientists, software engineers, and students interested in enhancing their understanding of practical machine learning. It’s designed for those who possess a foundational knowledge of machine learning concepts and want to deepen their practical skills. Additionally, professionals looking to implement machine learning solutions in their organizations will find the book particularly useful, as it covers essential principles and best practices. -
سؤال:
What topics are covered in the Machine Learning Engineering book?
إجابه: The book covers a wide range of topics, including data preprocessing, feature engineering, model selection, and system design. It also delves into deployment strategies, scaling models, and real-time predictions. By covering both the theoretical background and practical implementation, it serves as a comprehensive guide for anyone looking to build and deploy machine learning applications in industry, ensuring readers understand the full lifecycle of machine learning projects. -
سؤال:
How does this book differ from other machine learning books?
إجابه: This book differentiates itself by focusing explicitly on the engineering aspects of machine learning, rather than just the algorithms or theory. While many machine learning books cover theoretical concepts, this one emphasizes practical applications, providing readers with a robust understanding of deployment and scalability issues. It includes real-world examples and emphasizes best practices, making it a valuable resource for professionals who wish to integrate machine learning into their existing systems. -
سؤال:
Can beginners benefit from the Machine Learning Engineering book?
إجابه: Yes, while the book is tailored for readers with some foundational knowledge in machine learning, beginners can also benefit, especially those willing to engage with supplementary resources. The initial chapters introduce key concepts in machine learning, guiding readers through various stages of project implementation. Beginners can gain insights into machine learning frameworks and practical applications, assisting them in building a solid foundation and advancing towards more complex projects. -
سؤال:
Are there any practical projects included in the book?
إجابه: Yes, the Machine Learning Engineering book includes several practical projects and case studies that demonstrate the application of various machine learning techniques. These projects allow readers to apply theoretical knowledge to real-world scenarios, reinforcing their understanding. This hands-on approach helps learners gain valuable experience in building machine learning models, tackling challenges, and developing solutions, ensuring they’re well-prepared for practical implementation. -
سؤال:
Who are the authors of the Machine Learning Engineering book?
إجابه: The book is authored by recognized experts in the field of machine learning, who bring extensive experience in both theory and practice. Their backgrounds in software engineering, data science, and machine learning applications provide readers with deep insights into the subject matter. The authors' combined expertise ensures the content is reliable, current, and applicable in real-world contexts, making it a trusted resource for professionals and learners alike. -
سؤال:
What skills will I gain from reading this book?
إجابه: By reading the Machine Learning Engineering book, you will gain valuable skills in designing, building, and deploying machine learning systems. You will learn about data handling, model optimization, and performance evaluation techniques. Additionally, the book teaches you how to overcome common industry challenges, such as scalability and model maintenance, equipping you with practical solutions that can be applied to your own projects in diverse settings, from startups to established enterprises. -
سؤال:
Where can I buy the Machine Learning Engineering book in Palestine?
إجابه: You can buy the Machine Learning Engineering paperback at Ubuy in Palestine. Ubuy offers a wide selection of books including this one, making it easy for readers to access and purchase their desired titles online. With a straightforward ordering process and various delivery options, Ubuy ensures you can conveniently get your copy of the book and dive into the world of machine learning engineering. -
سؤال:
Is there a digital version available for this book?
إجابه: Yes, the Machine Learning Engineering book is available in digital format. This version is convenient for those who prefer reading on e-readers, tablets, or computers. The digital version often allows for features like adjustable text sizes and search functionalities, enhancing the reading experience. Additionally, having a digital copy can facilitate easier annotation and reference, making it an excellent choice for students or professionals on the go.
Software Development Editorial Review
** Machine Learning Engineering** Machine Learning Engineering by Andriy Burkov builds upon the foundational knowledge established in his earlier work, The 100 Page Machine Learning Book. This new release excels in addressing the often-overlooked aspects of deploying machine learning models, focusing on the engineering principles that are crucial for success in real-world applications. Readers have praised the book for its practical insights, particularly in sections that clarify when machine learning is appropriate, ultimately saving practitioners time and effort by outlining clear criteria for decision-making. The book is especially regarded by individuals transitioning from data science to machine learning engineering roles. Experienced professionals have found it to be an invaluable resource, filled with clear examples that enhance their understanding of complex topics and reinforce their existing knowledge. The compact format of the book does not detract from its depth, making it an attractive option for those who prefer concise yet comprehensive material. Burkov's ability to demystify the machine learning lifecycle and articulate the necessary steps to move models to production has been widely commended. Many readers recommend this work not only for its instructive nature but also for the way it serves as an essential reference guide for ongoing learning and application. Overall, Machine Learning Engineering is viewed as a must-read for anyone interested in leveraging machine learning to solve business problems effectively. **
مراجعات العملاء وتقييماتهم
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إيجابيات
- Comprehensive coverage of machine learning engineering principles.
- Clear guidance on when to use machine learning versus other solutions.
- Practical insights beneficial for transitioning data scientists.
- Concise yet in-depth treatment of complex topics.
- Valuable reinforcement for experienced practitioners.
- Well-received as a companion volume to The 100 Page Machine Learning Book.
سلبيات
- May be too basic for seasoned experts seeking advanced content.
منصة موثوقة وثقة كاملة للمشتري
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“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.”
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“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.”
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“Easy to find and order what you want on the website. Delivery is quick to the UK”
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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.
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ILS 271
اطلب الآن واحصل عليه حول الثلاثاء, أكتوبر 20
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.
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المميزات والفوائد
- Author Andriy Burkov is a leader in the field with a Ph.D. in AI.
- Features best practices and design patterns for scalable machine learning solutions.
- Unique focus on practical applications rather than theoretical algorithms.
- Provides detailed guidance on the end-to-end machine learning process.
- Address common pitfalls and mistakes in AI system building.
- Highly recommended by industry leaders, including the Chief Decision Scientist at Google.
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.