Title
Machine Learning Engineering,Used
Delivery time: 8-12 business days (International)
The most comprehensive book on the engineering aspects of building reliable AI systems."If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book."Cassie Kozyrkov, Chief Decision Scientist at Google"Foundational work about the reality of building machine learning models in production."Karolis Urbonas, Head of Machine Learning and Science at Amazon
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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Frequently Asked Questions
- Q: What is the main focus of 'Machine Learning Engineering'? A: The book primarily addresses the engineering aspects of building reliable AI systems, making it a comprehensive resource for applying machine learning in business contexts.
- Q: Who is the author of 'Machine Learning Engineering'? A: 'Machine Learning Engineering' is authored by Andriy Burkov, a recognized expert in the field of machine learning.
- Q: What is the publication date of this book? A: The book was published on September 8, 2020.
- Q: How many pages does 'Machine Learning Engineering' have? A: 'Machine Learning Engineering' contains 310 pages.
- Q: What type of binding does this book have? A: The book is available in hardcover binding, providing durability and a professional appearance.
- Q: Is 'Machine Learning Engineering' suitable for beginners? A: While the book covers foundational concepts, it is particularly beneficial for those with some background in machine learning and engineering practices.
- Q: What topics are covered in 'Machine Learning Engineering'? A: The book covers a range of topics including model deployment, reliability, and best practices for building scalable machine learning systems in production.
- Q: Are there any reviews from industry professionals? A: Yes, industry leaders like Cassie Kozyrkov from Google and Karolis Urbonas from Amazon have praised the book for its insights into practical machine learning applications.
- Q: What can I gain from reading this book? A: Readers can gain a deeper understanding of the engineering challenges in machine learning and learn effective strategies to implement AI solutions in business.
- Q: Is this book recommended for business use? A: Yes, 'Machine Learning Engineering' is highly recommended for business professionals looking to leverage machine learning to solve problems at scale.