Looking for alternatives or competitors to Google Cloud AutoML? Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking easily administered, popular software solutions with drag and drop, pre-built algorithms, and model training. Other important factors to consider when researching alternatives to Google Cloud AutoML include projects. The best overall Google Cloud AutoML alternative is Azure Machine Learning. Other similar apps like Google Cloud AutoML are Amazon SageMaker, DataRobot, Dataiku, and Altair AI Studio. Google Cloud AutoML alternatives can be found in Data Science and Machine Learning Platforms but may also be in Generative AI Infrastructure Software or Analytics Platforms.
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
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.
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.
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
TensorFlow is an open source software library for numerical computation using data flow graphs.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.