H2O can get you to a similar end, though it is a much different tool — more similar to Scikit-learn, SparkML, or packages of choice from Github.

Monument is strictly no-code and everything is “batteries included” — a much lower hurdle for enterprise-grade analysis than firing up a code development…


COVID has dramatically altered all of our lives. The corresponding flurry of information — and sometimes misinformation — has made these changes more acute and harder to unpack.

To empower citizens, journalists, and policymakers, Monument has assembled below easy-to-follow instructions for building your own machine learning models for COVID’s spread…


NEW YORK, N.Y. — Monument is pleased to announce the roll out of “model serving” capabilities. Model serving enables users to train algorithms on historical data, save the parameterized model, and deploy this model on new data that the model has not previously seen.

Model serving complements the “training” and…


Stop putting prices on things by guessing. You’re leaving money on the table. A great use-case for Machine Learning is building pricing engines. No coding or data science expertise required.

Whether you’re buying or selling a product — any product! — it’s helpful to use Machine Learning to get a…


Pop quiz. In the above chart of eleven historical datapoints, which of the two lines in the picture above would be the most accurate for predicting the location of a new, twelfth datapoint? The blue line seems great — it’s fit perfectly to your known historical datapoints! …


1. It’s easier to get started.

Data science does not have to mean months or years of work to get started. With a no-code platform you can go from literally zero coding or data science experience to running your first algorithm in minutes — literally!

2. It’s easier to visualize your results.

It’s hard to find the meaning in arrays of numbers, and…


NEW YORK, N.Y. — The Monument team is pleased to announce the addition of classification and regression methods into our zero-code machine intelligence platform. Users can now estimate any types of classes or levels for your data. Monument will automatically adjust to your data set.

These classification and regression algorithms…


Predicting the likelihood of future events like fraud or payment defaults is a classic use-case of machine learning. With its drag-and-drop interface, Monument makes it easier than ever to tackle this classification problem. …


Monument (www.monument.ai) enables you to quickly apply algorithms to data in a no-code interface. But, after you drag the algorithms onto data to generate predictions, you need to decide which algorithm or combination of algorithms is most reliable for your task.

In the ocean temperature tutorial, we cleaned open remote…


In this tutorial, we’re going to show you how to take open source data from the National Oceanic and Atmospheric Administration (NOAA), clean it, and forecast future temperatures using no-code machine learning methods.

This particular data comes from the Harmful Algal BloomS Observation System (HABSOS). There are several interesting questions…

Monument

Predictions to keep you two steps ahead.

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