What is Hal9?
Create, visualize and deploy AI solutions. It is a great platform to learn more about AI. You can use your mobile device to classify images and since it is based on open source, you can view and edit all the code behind each block.
Hal9 is a tool in the Text & Language Models category of a tech stack.
Key Features
Start by importing data from Google Sheets, Excel or any other service that supports exporting your data. Simply drag the type of data you have: CSV, Excel, or JSON and open the URL or file with your dataAfter importing your data, drag the chart and fields to visualize, is that simple. You can choose from bar, line, scatter, bubbles, wordclouds and many more chartsForecast future values by dragging a prediction, select the field to predict, the type of prediction that best fits your needs and how many values to predict into the future, is that easyIf you want to go the extra mile, you can export your analysis to HTML and embed the results in any site that supports static HTML: Wix, WordPress, you name it. In this example, we use Hal9 and Google Analytics to visualize and embed our own worldwide daily product use
Hal9 Pros & Cons
Pros of Hal9
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Cons of Hal9
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Hal9 Alternatives & Comparisons
What are some alternatives to Hal9?
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.
