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What is Core ML?

Core ML makes use of a machine learning algorithm tailored to a specific dataset to create a predictive model. This model facilitates predictions based on new incoming data, offering solutions for tasks that would be difficult or unfeasible to program by hand. For example, you could create a model that classifies images or detects specific objects within those images by analyzing their pixel data directly. After the model is developed, it is crucial to integrate it into your application and ensure it can be deployed on users' devices. Your application takes advantage of Core ML APIs and user data to enable predictions while also allowing for the model to be refined or retrained as needed. You can build and train your model using the Create ML application included with Xcode, which formats the models for Core ML, thus facilitating smooth integration into your app. Alternatively, other machine learning libraries can be utilized, and Core ML Tools can be employed to convert these models into the appropriate format for Core ML. Once the model is successfully deployed on a user's device, Core ML supports on-device retraining or fine-tuning, which improves its accuracy and overall performance. This capability not only enhances the model based on real-world feedback but also ensures that it remains relevant and effective in various applications over time. Continuous updates and adjustments can lead to significant advancements in the model's functionality.

What is Alibaba Cloud Machine Learning Platform for AI?

A versatile platform designed to provide a wide array of machine learning algorithms specifically crafted to meet your data mining and analytical requirements. The AI Machine Learning Platform offers extensive functionalities, including data preparation, feature extraction, model training, prediction, and evaluation. By unifying these elements, this platform simplifies the journey into artificial intelligence like never before. Moreover, it boasts an intuitive web interface that enables users to build experiments through a simple drag-and-drop mechanism on a canvas. The machine learning modeling process is organized into a straightforward, sequential method, which boosts efficiency and minimizes expenses during the development of experiments. With more than a hundred algorithmic components at its disposal, the AI Machine Learning Platform caters to a variety of applications, including regression, classification, clustering, text mining, finance, and time-series analysis. This functionality empowers users to navigate and implement intricate data-driven solutions with remarkable ease, ultimately fostering innovation in their projects.

Media

Media

Integrations Supported

Alibaba Cloud
Apple tvOS
Apple watchOS
Xcode

Integrations Supported

Alibaba Cloud
Apple tvOS
Apple watchOS
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.872 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apple

Company Location

United States

Company Website

developer.apple.com/documentation/coreml

Company Facts

Organization Name

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/product/machine-learning

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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