Top 10 DataRobot Alternatives One Must Know
The enterprise AI company, DataRobot has been a big name across the globe as organisations use its services to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. At the present scenario, AutoML is being adopted by different companies to train high-quality ML models specific to their business needs, even without the need for data science experts. Built to automate machine learning, DataRobot is leaving no stone unturned in delivering superior solutions to firms for driving their business by integrating the latest technologies such as AI and data science. Below here, we listed down, in alphabetical order, the top 10 DataRobot alternatives one must know. AWS Sagemaker About: Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. This platform removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models. Amazon SageMaker provides a full end-to-end workflow and ensures that ML model artefacts and other system artefacts are encrypted in transit and at rest. Know more here. Alteryx About: Alteryx is an end-to-end data analytics platform that allows data scientists and analysts to solve business problems in a faster manner. The Alteryx Analytic Process Automation (APA) Platform unifies analytics, data science and business process automation in one platform to accelerate digital transformation. Know more here. Azure Machine Learning Studio About: Azure Machine Learning Studio is a GUI-based integrated development environment (IDE) for constructing and operationalising machine learning workflow on Azure. It is basically a web portal in Azure Machine Learning that contains low-code and no-code options for project authoring and asset management. Know more here. BigML About: BigML is a consumable, programmable, and scalable machine learning platform that makes it easy to solve and automate classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, and topic modelling tasks. The platform provides a selection of robustly-engineered machine learning algorithms proven to solve real-world problems by applying a single, standardised framework. Know more here. Dataiku About: Dataiku is a centralised data platform that moves businesses as well as their data journey from analytics at scale to enterprise AI. It is a collaborative data science software platform for data scientists, data analysts, and engineers to explore, prototype, build and deliver their own data products. Know more here. Databricks About: Databricks is a cloud-based data engineering tool that is used for processing as well as transforming massive quantities of data and exploring the data through ML models. As a fully managed cloud service, Databricks handles data security and software reliability. Know more here. DataRPM About: DataRPM is a cognitive data science platform for enterprises to build predictive analytics and recommender systems. The platform uses a machine first approach to connect to the customer’s internal data, fuses it with external data sources and runs a series of (auto) algorithms that deliver actionable insights to answer the business challenges. Know more here. Google Cloud AutoML About: Google’s Cloud AutoML is a suite of machine learning products. The platform enables developers with limited machine learning expertise to train high-quality models specific to their business needs. One can create a customised machine learning and deep learning models without any expertise in the field. Know more here. H2O.ai About: H2O.ai is an automated and open source machine learning platform. It is a distributed in-memory machine learning platform with linear scalability that supports the most widely used statistical and machine learning algorithms including gradient boosted machines, generalised linear models, deep learning and much more. Know more here. RapidMiner About: RapidMiner is one of the leading end-to-end data science platforms that unites data prep, machine learning and predictive model deployment. The platform allows data mining, text mining and predictive analytics as well as allows the users to enter raw data. RapidMiner designs models using a visual workflow designer or automated modelling and deploy as well as manage models and convert them into perspective actions. Know more here.
The enterprise AI company, DataRobot has been a big name across the globe as organisations use its services to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. At the present scenario, AutoML is being adopted by different companies to train high-quality ML […]
The enterprise AI company, DataRobot is leaving no stone unturned in delivering better solutions to firms for driving their business.
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["Amazon SageMaker", "the need to scale with big data", "automated data science solutions", "machine learning tools", "deep learning", "data mining applications", "data science", "analytics", "AutoML for data scientists", "machine learning", "AWS", "AI", "ai big data analytics digital transformation", "ML", "Applications of Data Mining", "Scale Big Data", "Automl", "big data scale", "anomaly detection", "DataRobot", "predictive analytics"]
["AI", "machine learning", "ML", "deep learning", "data science", "analytics", "Amazon SageMaker", "predictive analytics", "anomaly detection", "AWS"]
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.