Delivery
Delivery time may vary depending on store and country. To learn more about Shipping Policy
Price Range
Dato is a brand that offers a range of products focused on data science and machine learning. Their solutions provide tools and frameworks to help businesses harness the power of data and make informed decisions.
Dato was founded in 2013
The brand has its headquarters in Seattle, Washington
The founders of Dato are Danny Bickson, Carlos Guestrin, and Joseph E. Gonzalez
H2O.ai is a rival brand that offers open-source software for data science and machine learning. Their products provide features like automatic machine learning and scalable analytics.
DataRobot is another competitor that provides an automated machine learning platform. Their products help businesses build and deploy machine learning models rapidly and efficiently.
IBM Watson is a well-known brand in the AI and machine learning space. They offer various products and services for data analysis, natural language processing, and more.
GraphLab Create is a framework provided by Dato that enables businesses to build and deploy machine learning models. It offers a range of tools for data preparation, feature engineering, and model evaluation.
Turi Distributed is a scalable machine learning platform offered by Dato. It allows businesses to process large volumes of data and train models on distributed systems.
Turi Predictive Services is a product that enables businesses to deploy and manage machine learning models in production. It provides a scalable and reliable infrastructure for serving predictions.
Dato focuses on providing solutions for data science and machine learning.
Dato is headquartered in Seattle, Washington.
The founders of Dato are Danny Bickson, Carlos Guestrin, and Joseph E. Gonzalez.
GraphLab Create is a framework by Dato that helps businesses build and deploy machine learning models through data preparation, feature engineering, and model evaluation.
Turi Predictive Services is a product offered by Dato that allows businesses to deploy and manage machine learning models in production environments.
