Top 10 Best Mlops

of November 2024
1
Best ChoiceBest Choice
Engineering MLOps: Rapidly build, test, and manage production-ready machine
10
Exceptional
View on Amazon
2
Best ValueBest Value
Machine Learning Design Patterns: Solutions to Common Challenges in Data
O'Reilly Media
O'Reilly Media
9.9
Exceptional
View on Amazon
3
Machine Learning Engineering with Python: Manage the production life cycle of
9.8
Exceptional
View on Amazon
4
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG,
9.7
Exceptional
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5
Data Science Solutions on Azure: Tools and Techniques Using Databricks and MLOps
9.6
Exceptional
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6
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine
O'Reilly Media
O'Reilly Media
9.5
Excellent
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7
Building Machine Learning Pipelines: Automating Model Life Cycles with
O'Reilly Media
O'Reilly Media
9.4
Excellent
View on Amazon
8
Introducing MLOps: How to Scale Machine Learning in the Enterprise
O'Reilly Media
O'Reilly Media
9.3
Excellent
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9
Practical DataOps: Delivering Agile Data Science at Scale
9.2
Excellent
View on Amazon
10
Kubeflow for Machine Learning: From Lab to Production
O'Reilly Media
O'Reilly Media
9.1
Excellent
View on Amazon

About Mlops

Click here to learn more about these products.

Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Data Science Solutions on Azure: Tools and Techniques Using Databricks and MLOps

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Practical DataOps: Delivering Agile Data Science at Scale

Kubeflow for Machine Learning: From Lab to Production

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