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Niche list of books on document version control for Data Science and Machine Learning.
Includes trend terms Data Version Control and DataOps, but covers widely the problem of tracking variants of models, data, code and decisions.
Includes trend terms Data Version Control and DataOps, but covers widely the problem of tracking variants of models, data, code and decisions.
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
1 |
DataOps Cookbook
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3.76 avg rating — 21 ratings
score: 200,
and
2 people voted
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2 |
Practical Dataops: Delivering Agile Data Science at Scale
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3.63 avg rating — 27 ratings
score: 198,
and
2 people voted
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3 |
DataOps: The Authoritative Edition
by
4.14 avg rating — 7 ratings
score: 196,
and
2 people voted
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4 |
Creating a Data-Driven Enterprise with DataOps
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4.24 avg rating — 29 ratings
score: 194,
and
2 people voted
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5 |
Data Pipelines with Apache Airflow
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4.34 avg rating — 111 ratings
score: 192,
and
2 people voted
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6 |
Building Machine Learning Powered Applications: Going from Idea to Product
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4.24 avg rating — 143 ratings
score: 95,
and
1 person voted
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Oleg
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Dec 20, 2020 07:21AM

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