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The best alternatives to Machine Learning are NanoNets, Jovian, and Fritz. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to Machine Learning
- Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
- We offer practical and industry-focused programs that help you learn technical skills, build real-world projects, and advance your career.
- Fritz AI is the machine learning platform for iOS and Android developers. Use the Studio to train custom solutions or use our SDK with pre-trained machine learning baked right in.
- Professional video editing powered by machine learning — all on the web.
- Nexosis provides a public API which allows developers to quickly add machine learning to applications.
- 👋 I'm Emil, a resident at the Google Arts & Culture Lab. I've made a visual directory with Machine Learning artworks and projects. More coming every week!!
- Meeshkan is an automated testing service for your GraphQL API that executes and reports on a collection of dynamically generated tests.
- Anon is an automated machine learning cloud service. It delivers a data scientist as a service, at a fraction of the costs, without needing to have machine learning knowledge.
- Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
- Web-base annotation platform for sharing and creating datasets at any scale.
- NetBook enables data science teams to connect their existing compute, cloud accounts, or private data centers and run training jobs across any compute from a unified platform. NetBook supports integrations with all MLOps tools with simple configuration files.
- Ultimate Volleyball is a bite-sized machine learning course that will teach you how to train AI agents to play volleyball.
