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Description
An all-inclusive platform that offers a wide array of machine learning algorithms tailored to fulfill your data mining and analytical needs. The Machine Learning Platform for AI delivers comprehensive machine learning solutions, encompassing data preprocessing, feature selection, model development, predictions, and performance assessment. This platform integrates these various services to enhance the accessibility of artificial intelligence like never before. With a user-friendly web interface, the Machine Learning Platform for AI allows users to design experiments effortlessly by simply dragging and dropping components onto a canvas. The process of building machine learning models is streamlined into a straightforward, step-by-step format, significantly boosting efficiency and lowering costs during experiment creation. Featuring over one hundred algorithm components, the Machine Learning Platform for AI addresses diverse scenarios, including regression, classification, clustering, text analysis, finance, and time series forecasting, catering to a wide range of analytical tasks. This comprehensive approach ensures that users can tackle any data challenge with confidence and ease.
Description
Core ML utilizes a machine learning algorithm applied to a specific dataset to generate a predictive model. This model enables predictions based on incoming data, providing solutions for tasks that would be challenging or impossible to code manually. For instance, you could develop a model to classify images or identify particular objects within those images directly from their pixel data. Following the model's creation, it is essential to incorporate it into your application and enable deployment on users' devices. Your application leverages Core ML APIs along with user data to facilitate predictions and to refine or retrain the model as necessary. You can utilize the Create ML application that comes with Xcode to build and train your model. Models generated through Create ML are formatted for Core ML and can be seamlessly integrated into your app. Alternatively, a variety of other machine learning libraries can be employed, and you can use Core ML Tools to convert those models into the Core ML format. Once the model is installed on a user’s device, Core ML allows for on-device retraining or fine-tuning, enhancing its accuracy and performance. This flexibility enables continuous improvement of the model based on real-world usage and feedback.
API Access
Has API
API Access
Has API
Pricing Details
$1.872 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/product/machine-learning
Vendor Details
Company Name
Apple
Country
United States
Website
developer.apple.com/documentation/coreml
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization