- Home Page /
- Books /
- Computers & Technology /
- Computer Science /
- AI & Machine Learning /
- Expert Systems /
- Machine Learning Engineering
Item #:
28838529
Machine Learning Engineering
86% of respondents would recommend this to a friend
Item #:
28838529
ILS 219
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
0 ratings
Write a review
In stock
Imported from USA store
QTY:
Order now and get it around Saturday, October 17
Secured 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
This book is one of the few to offer perspectives on each step of the end-to-end process.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.
What Stands Out
Comprehensive Coverage
This book offers in-depth insights into machine learning engineering, covering essential concepts and practical applications, making it suitable for both beginners and experienced professionals.
Real-World Examples
Features practical case studies and examples that demonstrate the application of machine learning techniques, helping readers understand complex ideas in a tangible way.
Up-to-Date Content
Published in 2020, it includes the latest advancements in the field, ensuring readers are well-versed with current trends, tools, and technologies in machine learning.
Product Details
- Written by Andriy Burkov, author of The Hundred-Page Machine Learning Book
- Based on the author's 15 years of AI experience and industry leaders' insights
- Addresses best practices and design patterns for building scalable machine learning solutions
- Includes perspectives on decision-making, product management, data engineering, statistics, reliability engineering, and more
- Embraces the importance of learning from mistakes and provides guidance on preventing, detecting, and handling issues in practical machine learning
- Ideal for those seeking to use machine learning to solve business problems at scale
| Publisher | True Positive Inc. |
| Publication date | September 5, 2020 |
| Language | English |
| Print length | 310 pages |
| ISBN-10 | 1999579577 |
| ISBN-13 | 978-1999579579 |
| Item Weight | 1.3 pounds (590 grams) |
| Dimensions | 7.5 x 0.73 x 9.25 inches (19.1 x 1.9 x 23.5 cm) |
Who Should Buy?
-
Aspiring Engineers
Ideal for those beginning their journey in machine learning engineering, providing foundational knowledge and practical application guidance.
-
Data Scientists
Perfect for data scientists looking to expand their skill set and apply machine learning techniques in engineering projects.
-
Tech Professionals
Beneficial for software engineers and IT professionals seeking to integrate machine learning strategies into their existing workflows.
-
Beginners Only
Not suitable for those with no technical background or prior understanding of programming and data science concepts.
Product Description
Machine Learning Engineering
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What are the main topics covered in 'Machine Learning Engineering'?
Answer: The book covers a range of fundamental topics including supervised and unsupervised learning, model deployment, and performance evaluation. It emphasizes engineering principles essential for building robust machine learning systems. By addressing real-world applications and challenges, it prepares readers to implement and manage machine learning projects efficiently. -
Question:
Who is the target audience for 'Machine Learning Engineering'?
Answer: This book is designed for software engineers, data scientists, and AI practitioners who are looking to deepen their understanding of machine learning from an engineering perspective. It's also suitable for advanced students who wish to gain practical insights into developing and deploying machine learning models. -
Question:
What programming languages does 'Machine Learning Engineering' focus on?
Answer: The book primarily focuses on Python and its extensive machine learning libraries such as TensorFlow and PyTorch. Python is widely used in the industry, making this book relevant for practitioners aiming to implement machine learning solutions in real-world applications. -
Question:
Does 'Machine Learning Engineering' include practical examples?
Answer: Yes, the book includes numerous practical examples and case studies to illustrate how theoretical concepts are applied in real-world scenarios. These examples enhance understanding and provide actionable insights for readers aspiring to excel in machine learning engineering. -
Question:
Can beginners benefit from 'Machine Learning Engineering'?
Answer: While this book is mainly aimed at those with some technical background, motivated beginners with a basic understanding of programming and statistics can gain valuable insights. The clear explanations and practical examples will help them gradually build their knowledge and skills in machine learning. -
Question:
What makes 'Machine Learning Engineering' different from other machine learning books?
Answer: This book uniquely focuses on the engineering aspects of machine learning projects, emphasizing the entire lifecycle from conception to deployment. Unlike many texts that dwell solely on algorithms, it integrates software engineering principles, making it essential for practitioners who want to create scalable and maintainable solutions. -
Question:
How does 'Machine Learning Engineering' approach model evaluation?
Answer: The book provides a comprehensive approach to model evaluation by discussing various metrics and methodologies to assess model performance. This includes detailed explanations of concepts like precision, recall, F1-score, and ROC curves, empowering readers to make informed decisions about model selection and improvement. -
Question:
Are there any prerequisites to read 'Machine Learning Engineering'?
Answer: Having a foundational knowledge of programming—particularly in Python—and an understanding of basic statistics will enhance the reading experience. Familiarity with concepts in machine learning is beneficial but not strictly necessary, as the book aims to guide readers through essential principles if they put in the effort. -
Question:
How does 'Machine Learning Engineering' handle real-world challenges in machine learning?
Answer: The book addresses common challenges such as data quality, model drift, and scalability concerns. By providing insights on how to overcome these challenges, it prepares readers for the complexities of implementing successful machine learning systems in dynamic and unpredictable environments. -
Question:
Where can I buy 'Machine Learning Engineering' in Palestine?
Answer: 'Machine Learning Engineering' can be purchased through Ubuy, a reliable e-commerce platform that offers a wide range of products. Ubuy provides an intuitive shopping experience for customers in Palestine, ensuring easy access to this insightful book.
Expert Systems Editorial Review
Machine Learning Engineering is a concise book that covers various topics related to machine learning. While it may not be thorough on all subjects, it provides a brief overview of techniques. It is a useful resource for quick reference and preparation before interviews. However, some readers have mentioned missing pages and the lack of a preface and table of contents. The book offers practical examples and guidance on using machine learning. Overall, it is well-received for its depth and breadth of topics, although it may be redundant for those who have read the author's previous book. It is recommended for individuals seeking a deeper understanding of machine learning engineering and MLOps.
Customer Reviews & Ratings
1 customers ratings
-
5 Star
0%
-
4 Star
100%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Concise and captures the depth and breadth of topics
- Useful for quick reference and interview preparation
- Provides practical guidance on utilizing machine learning
- Covers various topics in machine learning engineering comprehensively
Cons
- Missing pages and lack of preface and table of contents
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“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
Verified buyer
“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
Verified buyer
“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
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Secure Checkout
Global Delivery
Easy Returns
Genuine Products
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
ILS 219
Order now and get it around Saturday, October 17
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Features & Benefits
- Most complete applied AI book out there
- Filled with best practices and design patterns
- Written by an industry leader with 15 years of experience
- Covers all aspects of building reliable ML solutions
- Emphasizes the importance of monitoring and model maintenance
- A must-have for anyone working in machine learning
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.