Core ML
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Explore more → **Core ML**
What is Core ML?
Core ML is Apple's machine learning framework, allowing developers to integrate trained machine learning models into their applications across Apple platforms (iOS, macOS, watchOS, and tvOS). It enables apps to perform tasks like image recognition, natural language processing, and predictive modeling directly on the device, improving performance and privacy by avoiding network requests.
What other technologies are related to Core ML?
Core ML Competitor Technologies
TensorFlow Lite
TensorFlow Lite is a competing framework for running machine learning models on mobile and embedded devices.
TensorFlow
TensorFlow is a machine learning framework, where models can be converted to Core ML but still represents an alternative for model development.
PyTorch
PyTorch is a machine learning framework, where models can be converted to Core ML but still represents an alternative for model development.
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Core ML Complementary Technologies
ARKit
ARKit can utilize Core ML models for image recognition and object detection within augmented reality experiences, making them work together seamlessly.
AVFoundation
AVFoundation can be used to capture video and audio data that can then be processed using Core ML models.
UIKit
UIKit provides the user interface elements for iOS apps, which can display the results or interact with Core ML models.
Number of organizations that mention technology
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Which job functions commonly mention Core ML?
Machine Learning
0.1% of all Machine Learning jobs mention Core ML
View 118
jobs on Sumble
Mobile Developer
0.1% of all Mobile Developer jobs mention Core ML
View 192
jobs on Sumble
Data, Analytics & Machine Learning
138 Data, Analytics & Machine Learning jobs mention Core ML
View 138
jobs on Sumble
Software Engineer
257 Software Engineer jobs mention Core ML
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jobs on Sumble
Engineer
266 Engineer jobs mention Core ML
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jobs on Sumble
Which organizations are mentioning Core ML?
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