ML models
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Explore more → **ML models**
What is ML models?
ML models are algorithms trained on data to make predictions or decisions without explicit programming. They are used for tasks like image recognition, natural language processing, and predictive analytics.
What other technologies are related to ML models?
ML models Complementary Technologies
M
MLOps
MLOps (Machine Learning Operations) are practices that aim to streamline the development, deployment, and maintenance of ML models, thus complementing them.
TensorFlow
TensorFlow is an open-source machine learning framework that enables the building and training of ML models.
PyTorch
PyTorch is an open-source machine learning framework that enables the building and training of ML models.
Number of organizations that mention technology
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Which job functions commonly mention ML models?
AI Engineer
0.1% of all AI Engineer jobs mention ML models
View 202
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention ML models
View 121
jobs on Sumble
Data Scientist
98 Data Scientist jobs mention ML models
View 98
jobs on Sumble
Data, Analytics & Machine Learning
480 Data, Analytics & Machine Learning jobs mention ML models
View 480
jobs on Sumble
Software Engineer
345 Software Engineer jobs mention ML models
View 345
jobs on Sumble
Which organizations are mentioning ML models?
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