Top 10 Free Machine Learning Platforms in 2022

Machine learning platforms are software products that help machine learning engineers in training and deploying machine learning models. Machine learning platforms help you automate the full machine learning lifecycle: from training and testing a model through deploying and running it. Even someone who is not an expert in machine learning or coding can utilize built in tools to help bring models to production.

Companies are seeking AI-driven solutions in almost all sectors of industry like healthcare, finance, manufacturing, etc. Machine learning provides solutions in every sector, ranging from predicting financial outcomes to supporting breakthroughs in medicines. To deliver these solutions, just building a model is not enough. You need to access data, clean data, perform feature extraction, and feature engineering before you even start to build a machine learning model. Once you have your model ready, you need to evaluate the model, deploy it, analyze the results and transform them in a way that can be understood by an audience beyond machine learning engineers. Machine learning platforms provide an ecosystem for all steps involved in the ML lifecycle.

This list is our top 10 MLOps Platforms for individuals and teams, providing different compute infrastructure and project management tools to fit different needs.

1. Saturn Cloud

Saturn Cloud is a data science platform for scalable Python, R, and Julia for teams and individuals. Saturn provides a flexible environment where data scientists can launch high-powered notebooks (Jupyter, R, VS Code, and more) in the cloud, quickly use Dask clusters, GPUs, deploy cloud resources to expand their data science capabilities, collaborate throughout an entire project lifecycle, and more. Get started for free here.

2. Anaconda

Anaconda distribution is a free and open-source platform for Python/R programming languages. It can be easily installed on any OS such as Windows, Linux, and MAC OS. It provides more than 1500 Python/R data science packages which are suitable for developing machine learning and deep learning models. Anaconda has a free tier you can learn more about here

3. Domino Data Lab

Domino Data Lab’s MLOps platform enable data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, and more. Data scientists and machine learning engineers can do exploratory data analysis and model development without configuring and using their own compute resources. DDL has a 14-day, no obligation free trial where you can experience a full Domino Enterprise MLOps Platform. Learn more here.

4. Amazon SageMaker

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help teams automate and standardize processes across the ML lifecycle. Using SageMaker MLOps tools, you can train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Learn more about their free tier here.

5. Google Colab

Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources including GPUs. Learn about their free services here.

6. Paperspace Gradient

Paperspace Gradient is an end-to-end machine learning platform where individuals and teams can build, train, and deploy Machine Learning models of any size and complexity.Paperspace offers a free plan with limits to CPU and GPU machines. They also offer paid plans for greater access.

7. Azure ML Studio

Azure Machine Learning studio is a web portal in Azure Machine Learning that contains low-code and no-code options for project authoring and You can start for free with a $200 credit to use within 30 days. While you have your credit, get free amounts of many of their most popular services, plus free amounts of 40+ other services that are always free. Learn more here

8. H2O.ai

H2O.ai is a fully open-source platform, which is a distributed in-memory ML platform with linear scalability.H2O supports statistical and machine learning algorithms for those who are looking for deep learning platforms because deep learning is one of the significant advantages of it. H20 offers a 90-day free trial for those looking to get started. Learn more here

9. Alteryx

Alteryx allows analysts to prep, blend, and analyze data faster with no-code, low-code analytic building blocks that enable highly configurable and repeatable workflows. See how data is turned into insights with data profiling and exploration and quickly build predictive models without coding or performing complex statistics. Alteryx offers a free 30-day trial you can learn more about here

10. RapidMiner

RapidMiner is an enterprise-ready data science platform designed for enterprises that analyses the collective impact of organizations’ employees, expertise and data. Their platform is intended to support many analytics users across a broad AI lifecycle and offers full automation for non-coding domain experts, and more. RapidMiner offers a 30-day free trial of Studio Enterprise, which includes unlimited data rows, optimized performance & full automation with Turbo Prep, Auto Model, and Model Ops.

Summary

Whether you’re an individual or a team, the solutions above cover a wide variety of options and are some of the highest used tools for MLops. If you’d like to contribute to this article, reach out to mel@saturncloud.io.

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About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Request a demo today to learn more.