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The best alternatives to Machine Learnings are Machine Learning Weekly, NanoNets, and Evidently AI. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to Machine Learnings
- Machine Learning Weekly is a newsletter with over 8,000 subscribers about machine learning and deep learning, curated in spare time by @alirezasmr to accelerate research.
- Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
- Evidently helps evaluate and monitor machine learning models in production. The tool generates visual reports on model performance to detect and debug issues. Follow the releases on Github: https://github.com/evidentlyai/evidently
- An interactive, visual journal for Machine Learning research
- You like to learn and consume a lot of information, but have no great method for sharing it. Lyrnlink lets you build lists of your favorite books, podcast episodes, and other mediums, then share them with one s...
- 👋 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!!
- 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.
- https://pollux.dev/
- We publish one machine learning question every day. That's it! You load the page, answer the question, and return the next day. Rinse and repeat.
- Cognitive Predictive Maintenance for IIoT
- Data Cluster Labs specialize in Image, Video, Audio, and Text data collection and annotation for deep learning through their managed crowd-sourcing platform for various AI projects. We also have open-sourced ou...
- Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place.
