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Machine Learning Engineering
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| 1 |
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
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4.55 avg rating — 2,741 ratings
score: 100,
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1 person voted
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| 2 |
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Deep Learning
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4.44 avg rating — 2,082 ratings
score: 99,
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1 person voted
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| 3 |
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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4.41 avg rating — 93 ratings
score: 98,
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1 person voted
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| 4 |
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Build a Large Language Model
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4.62 avg rating — 194 ratings
score: 97,
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1 person voted
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| 5 |
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
by
Chip Huyen (Goodreads Author)
4.47 avg rating — 921 ratings
score: 96,
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1 person voted
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| 6 |
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Designing Data-Intensive Applications
by
Martin Kleppmann (Goodreads Author)
4.70 avg rating — 10,104 ratings
score: 95,
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1 person voted
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| 7 |
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Fluent Python: Clear, Concise, and Effective Programming
by
Luciano Ramalho (Goodreads Author)
4.62 avg rating — 1,737 ratings
score: 94,
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1 person voted
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| 8 |
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Clean Code: A Handbook of Agile Software Craftsmanship
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4.36 avg rating — 23,080 ratings
score: 93,
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1 person voted
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| 9 |
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The Hundred-Page Machine Learning Book
by
Andriy Burkov (Goodreads Author)
4.25 avg rating — 1,390 ratings
score: 92,
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1 person voted
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| 10 |
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Machine Learning Engineering
by
Andriy Burkov (Goodreads Author)
4.32 avg rating — 142 ratings
score: 91,
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1 person voted
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| 11 |
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
by
Valliappa Lakshmanan (Goodreads Author)
4.16 avg rating — 267 ratings
score: 90,
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1 person voted
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| 12 |
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The Art of Statistics: How to Learn from Data
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4.15 avg rating — 5,445 ratings
score: 89,
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1 person voted
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| 13 |
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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4.20 avg rating — 830 ratings
score: 88,
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1 person voted
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| 14 |
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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
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4.32 avg rating — 187 ratings
score: 87,
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1 person voted
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| 15 |
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
by
Valliappa Lakshmanan (Goodreads Author)
4.28 avg rating — 18 ratings
score: 86,
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1 person voted
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| 16 |
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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
by
David Foster (Goodreads Author)
4.30 avg rating — 246 ratings
score: 85,
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1 person voted
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| 17 |
|
AI Engineering: Building Applications with Foundation Models
by
Chip Huyen (Goodreads Author)
4.51 avg rating — 450 ratings
score: 84,
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1 person voted
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| 18 |
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Learning Python
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4.01 avg rating — 3,187 ratings
score: 83,
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1 person voted
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| 19 |
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Learning Spark: Lightning-Fast Data Analytics
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4.32 avg rating — 146 ratings
score: 82,
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1 person voted
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| 20 |
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The Pragmatic Programmer: From Journeyman to Master
by
Andy Hunt (Goodreads Author)
4.33 avg rating — 23,628 ratings
score: 81,
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1 person voted
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| 21 |
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Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
by
Aditya Y. Bhargava (Goodreads Author)
4.42 avg rating — 5,202 ratings
score: 80,
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1 person voted
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| 22 |
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Software Engineering at Google: Lessons Learned from Programming Over Time
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4.20 avg rating — 1,903 ratings
score: 79,
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1 person voted
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| 23 |
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Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices
by
Harry Percival (Goodreads Author)
4.41 avg rating — 469 ratings
score: 78,
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1 person voted
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| 24 |
|
The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)
by
Andriy Burkov (Goodreads Author)
4.49 avg rating — 39 ratings
score: 77,
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1 person voted
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