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Connect BigML integrations

Train intelligent machine learning models and run data predictions automatically by connecting BigML to Make. Linking this platform to our workflow automation tool lets you instantly cluster records, calculate anomaly scores, and sync custom datasets. Route your predictive insights directly to your CRMs. Sign up today to build your first automated decision pipeline.

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Build your BigML integrations.

In today's data-driven business landscape, optimizing your machine learning models and predictive analytics requires efficient data pipelines. By leveraging the power of Make, you can connect BigML with hundreds of other essential business tools to build robust, automated workflows without writing a single line of code. Integrating BigML into your digital ecosystem enables you to automate data ingestion, trigger predictive processes based on real-time events, and instantly distribute machine learning insights across your entire organization. Whether you want to sync BigML predictions with your CRM, send automated alerts to your team when new patterns are detected, or pipe data directly from cloud storage to your training datasets, these powerful integration capabilities make it simple to eliminate manual tasks and reduce human error. Enhancing your decision-making processes has never been faster or more reliable, allowing your team to focus on strategic growth rather than repetitive data entry. Take your predictive analysis to the next level and maximize your operational efficiency today by starting your free trial of Make to integrate BigML and revolutionize your business workflows.

BigML
Create a Centroid

Finds out the closest cluster to your data instance.

Action
BigML
Create a Prediction

Creates a prediction using a model, logistic regression, deepnets etc.

Action
BigML
Create a Topic Distribution

Calculates all topic probabilities for a given document.

Action
BigML
Create an Anomaly Score

Calculates the anomaly score of a data instance.

Action
BigML
Delete a Centroid

Deletes a specified centroid.

Action
BigML
Delete a Prediction

Deletes a specified prediction.

Action
BigML
Delete a Topic Distribution

Deletes a specified topic distribution.

Action
BigML
Delete an Anomaly Score

Deletes a specified anomaly score.

Action
BigML
Get a Centroid

Gets a specified centroid.

Action

Connect any app with BigML

Popular BigML workflows.

Connect BigML to Make. Automate your machine learning workflows, sync data, and integrate your favorite apps.

Connect BigML and Make to Automate Your Machine Learning Workflows

Use Make to connect BigML with apps like Slack, Google Sheets, and Trello. Automate machine learning predictions, log anomaly scores, and send real-time alerts without writing code.

Real-time prediction alerts

Instantly notify your team on Slack the moment a new machine learning prediction is generated.

Automatic data logging

Effortlessly sync daily anomaly scores and prediction data directly into Google Sheets for easy tracking.

Simplified resource tracking

Automatically generate Trello cards for every new machine learning model or dataset you create in BigML.

Prompt incident response

Calculate anomaly scores instantly via webhooks and automatically route mobile push notifications or error emails based on the outcome.

FAQ

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.

How it works

Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.

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