The Complete Guide to Deep Machine Learning (Paperback)
Language: English
Published by Independently Published, 2025
Series: Book 1 of 4 - Mastering Deep Learning & Machine learning
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 37.75
Quantity: 1 available
Add to basketItem description from seller
Paperback. Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you've asked, how do modern AI engineers manage complex models, deploy them safely, and ensure they actually solve real problems?The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts-do you want to understand how to build systems that operate responsibly, reliably, and at scale?Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you've questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You'll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You'll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you're a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798278046202
- Title
- The Complete Guide to Deep Machine Learning (Paperback)
- Author
- Ellis Jasper Harry
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798278046202
- Series
- Book 1 of 4: Mastering Deep Learning & Machine learning
Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you’ve asked, how do modern AI engineers manage complex models, deploy them safely, and ensure they actually solve real problems?
The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts—do you want to understand how to build systems that operate responsibly, reliably, and at scale?
Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you’ve questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?
This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You’ll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You’ll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.
Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you’re a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.
Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
Shipping rates within U.S.A.
| Item | 6 to 14 business days | 6 to 16 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Payment methods
Seller's business information
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE U.S.A. 19805
Terms of sale
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Grand Eagle Retail, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.