Explore the best alternatives to Azure Machine Learning for users who need new software features or want to try different solutions. Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking easy to use, easily administered software solutions with drag and drop, pre-built algorithms, and model training. Other important factors to consider when researching alternatives to Azure Machine Learning include features. The best overall Azure Machine Learning alternative is Vertex AI. Other similar apps like Azure Machine Learning are Dataiku, Amazon SageMaker, Altair AI Studio, and Alteryx. Azure Machine Learning alternatives can be found in Data Science and Machine Learning Platforms but may also be in Generative AI Infrastructure Software or Analytics Platforms.
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a less time than it used to take.
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.