By
Dato
DatoGraphLab Create
What is GraphLab Create?
Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.
GraphLab Create is a tool in the Text & Language Models category of a tech stack.
Key Features
Analyze terabyte scale data at interactive speeds, on your desktop.A Single platform for tabular data, graphs, text, and images.State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.Run the same code on your laptop or in a distributed system, using a Hadoop Yarn or EC2 cluster.Focus on tasks or machine learning with the flexible API.Easily deploy data products in the cloud using Predictive Services.Visualize data for exploration and production monitoring.
GraphLab Create Pros & Cons
Pros of GraphLab Create
- ✓Fast Data Summary
- ✓Intelligent Function Defaults
- ✓Simple Machine Learning Tools
Cons of GraphLab Create
No cons listed yet.
GraphLab Create Alternatives & Comparisons
What are some alternatives to GraphLab Create?
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
