Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
By: Chip Huyen
4.50
Format: 368 pages, Paperback
Machine learning systems are both complex and unique. Complex because they consist of many differen…
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1. Hands-On Machine Learning with Scikit-Learn and TensorFlow
By: Aurélien Géron
3.72
Format: None pages, Kindle Edition
A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the l… read more
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- technical
- artificial intelligence
- nonfiction
- programming
- computer science
- technology
2. Fluent Python: Clear, Concise, and Effective Programming
By: Luciano Ramalho
3.54
Format: 312 pages, Paperback
Python's simplicity lets you become productive quickly, but this often means you aren't using every… read more
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- technical
- coding
- nonfiction
- programming
- computer science
- technology
3. An Introduction to Statistical Learning: With Applications in R
By: Gareth James , None , None , None
3.49
Format: 182 pages, Hardcover
An Introduction to Statistical Learning provides an accessible overview of the field of statistical… read more
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4. Deep Learning
By: Yoshua Bengio , None , None
3.48
Format: None pages, ebook
This book can be useful for a variety of readers, but we wrote it with two main target audiences in… read more
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5. Deep learning with Python
By: None
4.21
Format: None pages,
Deep learning is applicable to a widening range of artificial intelligence problems, such as image … read more
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Similar categories in None's Designing Data-Intensive Applications book and Chip Huyen's Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
7. The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
By: Camille Fournier
3.75
Format: 288 pages, Paperback
Managing people is difficult wherever you work, but the tech industry as a whole is pretty bad at i… read more
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8. The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
By: Tanya Reilly
4.40
Format: 335 pages, Paperback
For years, companies have rewarded their most effective engineers with management positions. But tr… read more
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- engineering
- computer science
- technical
- nonfiction
- programming
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"What will Future You wish that Present You had done?"-Tanya Reilly, The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
"Yes, you can be an introvert. No, you can't be a jerk."-Tanya Reilly, The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
9. Fundamentals of Software Architecture: An Engineering Approach
By: Mark Richards
4.26
Format: 419 pages, Paperback
Although salary surveys worldwide regularly identify software architect as one of the top ten best … read more
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- programming
- engineering
- computer science
- coding
- nonfiction
- technical
- software
- technology
10. System Design Interview – An insider's guide
By: Alex Xu
4.29
Format: 324 pages, Kindle Edition
The system design interview is considered to be the most complex and most difficult technical job i… read more
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- programming
- engineering
- computer science
- coding
- nonfiction
- technical
- software
- technology
11. The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI
By: Fei-Fei Li
4.39
Format: 336 pages, Hardcover
The moving memoir of a scientist coming of age as an immigrant in America who finds her calling at … read more
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- science
- artificial intelligence
- nonfiction
- computer science
- technology
12. Fundamentals of Data Engineering: Plan and Build Robust Data Systems
By: Joe Reis
4.25
Format: 426 pages, Paperback
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scient… read more
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- programming
- engineering
- computer science
- artificial intelligence
- nonfiction
- technical
- software
- technology
13. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
By: Chip Huyen
4.50
Format: 368 pages, Paperback
Machine learning systems are both complex and unique. Complex because they consist of many differen… read more
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- programming
- engineering
- computer science
- technology
- artificial intelligence
- coding
- nonfiction
- technical
- software
- science
14. Natural Language Processing with Transformers: Building Language Applications with Hugging Face
By: Lewis Tunstall
4.43
Format: 406 pages, Paperback
Since their introduction in 2017, transformers have quickly become the dominant architecture for ac… read more
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- programming
- computer science
- technology
- artificial intelligence
- nonfiction
- technical
- software
- science
15. Introduction to Machine Learning with Python: A Guide for Data Scientists
By: Andreas C. Müller
4.35
Format: 398 pages, Paperback
Machine learning has become an integral part of many commercial applications and research projects,… read more
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- technology
- artificial intelligence
- coding
- nonfiction
- programming
- computer science
- science
16. Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
By: David Foster
4.32
Format: 327 pages, Paperback
Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the… read more
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- programming
- computer science
- technology
- artificial intelligence
- nonfiction
- technical
- software
- science
17. Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
By: Valliappa Lakshmanan
4.16
Format: 400 pages, Paperback
The design patterns in this book capture best practices and solutions to recurring problems in mach… read more
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- programming
- engineering
- computer science
- technology
- artificial intelligence
- nonfiction
- technical
- software
- science
18. System Design Interview – An Insider's Guide: Volume 2
By: Alex Xu
4.49
Format: 424 pages, Paperback
System Design Interview - An Insider's Guide (Volume 2) This book can be seen as a sequel to the b… read more
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- programming
- engineering
- computer science
- coding
- nonfiction
- technical
- software
- technology
19. Effective Data Science Infrastructure: How to make data scientists productive
By: Ville Tuulos
4.43
Format: 352 pages, Paperback
Simplify data science infrastructure to give data scientists an efficient path from prototype to pr… read more
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- artificial intelligence
- technology
20. Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
By: Sebastian Raschka
4.36
Format: 770 pages, Paperback
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive… read more
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- technical
- artificial intelligence
- nonfiction
- programming
- computer science
- technology
21. Machine Learning System Design Interview
By: Ali Aminian
4.36
Format: 294 pages, Paperback
Machine learning system design interviews are the most difficult to tackle of all technical intervi… read more
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- software
- engineering
- artificial intelligence
- technology
