What is DataRobot?
It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
DataRobot is a tool in the Machine Learning Tools category of a tech stack.
DataRobot is an open source tool with GitHub stars and GitHub forks. Here’s a link to DataRobot's open source repository on GitHub
Who uses DataRobot?
Tableau, Snowflake, Looker, Cloudera Enterprise, and Qlik Sense are some of the popular tools that integrate with DataRobot. Here's a list of all 11 tools that integrate with DataRobot.
Why developers like DataRobot?
Here’s a list of reasons why companies and developers use DataRobot
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- Automated machine learning
- Data accuracy
- Ease of use
- Ecosystem of algorithms
- Data preparation
- ETL and visualization tools
- Integration with enterprise security technologies
- Numerous database certifications
- Distributed and self-healing architecture
- Hadoop cluster plug and play
DataRobot Alternatives & Comparisons
What are some alternatives to DataRobot?
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H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.