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Knowledge map for course MLOps Engineer

4.7712 already learning 1 day ago last updated

Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.

Discover the power of the Knowledge map! Monitor your progress in real-time, grasp topic connections, and get a clear picture of your learning journey.
Computer science 0 / 220
Fundamentals 0 / 46
Programming languages 0 / 51
Python 0 / 51
System administration and DevOps 0 / 47
Data science 0 / 76
Machine learning 0 / 26
Introduction to machine learning 0 / 2
Introduction to deep learning 0 / 2
Regression 0 / 4
Regression metrics 0 / 3
Classification 0 / 5
Decision tree learning 0 / 1
Classification metrics 0 / 3
Ensemble learning 0 / 2
ML deployment 0 / 10
Data preprocessing 0 / 1
NLP 0 / 24
Instruments 0 / 26
Generative AI 0 / 9
Math 0 / 18
  2. Computer science
  3. Data science
  4. Machine learning
  5. Classification
  6. Classification metrics
Classification metrics