Unity Machine Learning Alternatives & Competitors

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Key Qubole features:

Scalability Multi-cloud Support Unified Interface Cost Management

Open Source

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI.

Key Grapple features:

Automatic Data Refresh Universal Data Library Natural Language Map Data

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BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Key BigML features:

User-Friendly Interface Wide Range of Algorithms Ease of Integration Visualization Tools

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Key machine-learning in Python features:

Ease of Use Rich Ecosystem Community Support Integration Capabilities

Obtains details of a cached recommendation. .

Key Microsoft Recommendations API features:

Integration Personalization Scalability Real-time Recommendations

Train custom ML models with minimum effort and expertise.

Key Google CLOUD AUTOML features:

Ease of Use Integration Customization Speed

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Key Google Cloud TPU features:

High Performance Scalability Ease of Integration Cost-Effective

Open Source

Show users intelligent search suggestions with the Bing Autosuggest API from Microsoft Azure. Test out the autocomplete API to see how it works.

Key Microsoft Bing Autosuggest API features:

Intelligent Suggestions Real-Time Results Customizable Features Global Coverage

python-recsys is a python library for implementing a recommender system.

Key python-recsys features:

Ease of Use Open Source Collaborative Filtering Integration

Open Source

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

Key AWS SageMaker Ground Truth features:

Scalability Integration Automated Labeling Cost-Effectiveness

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

Key Amazon Forecast features:

Automated Machine Learning Integration with AWS Ecosystem Variety of Algorithms Scalability

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

Key GoLearn features:

Ease of Use Integration with Go Active Community Basic Machine Learning Algorithms

Open Source

Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API:.

Key Microsoft Academic Knowledge API features:

Rich Dataset Advanced Search Capabilities Graph-based Data Regular Updates