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1 |
Hands-On Machine Learning with Scikit-Learn and TensorFlow
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4.55 avg rating — 2,753 ratings
score: 100,
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1 person voted
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2 |
Deep Learning
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4.44 avg rating — 2,093 ratings
score: 99,
and
1 person voted
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3 |
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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4.43 avg rating — 101 ratings
score: 98,
and
1 person voted
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4 |
Build a Large Language Model
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4.62 avg rating — 218 ratings
score: 97,
and
1 person voted
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5 |
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
by
Chip Huyen (Goodreads Author)
4.47 avg rating — 953 ratings
score: 96,
and
1 person voted
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6 |
Designing Data-Intensive Applications
by
Martin Kleppmann (Goodreads Author)
4.70 avg rating — 10,241 ratings
score: 95,
and
1 person voted
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7 |
Fluent Python: Clear, Concise, and Effective Programming
by
Luciano Ramalho (Goodreads Author)
4.62 avg rating — 1,755 ratings
score: 94,
and
1 person voted
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8 |
Clean Code: A Handbook of Agile Software Craftsmanship
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4.36 avg rating — 23,211 ratings
score: 93,
and
1 person voted
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9 |
The Hundred-Page Machine Learning Book
by
Andriy Burkov (Goodreads Author)
4.25 avg rating — 1,399 ratings
score: 92,
and
1 person voted
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10 |
Machine Learning Engineering
by
Andriy Burkov (Goodreads Author)
4.31 avg rating — 143 ratings
score: 91,
and
1 person voted
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11 |
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
by
Valliappa Lakshmanan (Goodreads Author)
4.15 avg rating — 272 ratings
score: 90,
and
1 person voted
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12 |
The Art of Statistics: How to Learn from Data
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4.15 avg rating — 5,513 ratings
score: 89,
and
1 person voted
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13 |
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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4.19 avg rating — 847 ratings
score: 88,
and
1 person voted
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14 |
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
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4.31 avg rating — 191 ratings
score: 87,
and
1 person voted
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15 |
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
by
Valliappa Lakshmanan (Goodreads Author)
4.26 avg rating — 19 ratings
score: 86,
and
1 person voted
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16 |
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
by
David Foster (Goodreads Author)
4.31 avg rating — 249 ratings
score: 85,
and
1 person voted
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17 |
AI Engineering: Building Applications with Foundation Models
by
Chip Huyen (Goodreads Author)
4.46 avg rating — 559 ratings
score: 84,
and
1 person voted
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18 |
Learning Python
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4.01 avg rating — 3,193 ratings
score: 83,
and
1 person voted
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19 |
Learning Spark: Lightning-Fast Data Analytics
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4.31 avg rating — 147 ratings
score: 82,
and
1 person voted
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20 |
The Pragmatic Programmer: From Journeyman to Master
by
Andy Hunt (Goodreads Author)
4.33 avg rating — 23,764 ratings
score: 81,
and
1 person voted
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21 |
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
by
Aditya Y. Bhargava (Goodreads Author)
4.42 avg rating — 5,250 ratings
score: 80,
and
1 person voted
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22 |
Software Engineering at Google: Lessons Learned from Programming Over Time
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4.20 avg rating — 1,917 ratings
score: 79,
and
1 person voted
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23 |
Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices
by
Harry Percival (Goodreads Author)
4.40 avg rating — 477 ratings
score: 78,
and
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)
4.47 avg rating — 47 ratings
score: 77,
and
1 person voted
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People Who Voted On This List (1)
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