Pricing score

6.4

BigML Pricing Profile

BigML is a machine learning as a service (MLaaS) platform that simplifies the process of building, deploying, and managing machine learning models for businesses and organizations.

Key Takeaways

AutoML

BigML automates many aspects of the machine learning process, including data preprocessing, model selection, training, and evaluation. Users can simply upload their data and let BigML automatically choose the most appropriate algorithm.

Visualization

BigML includes data visualization tools to help users better understand their models and results. Visualizations include decision trees, partial dependency plots, and feature importance charts, which help users interpret the factors influencing model predictions.

Collaborative Features

BigML supports team collaboration by allowing users to share projects, datasets, models, and results within their organization. Users can work together to refine models, share insights, and collectively improve the machine learning process.

Product Overview

BigML provides a user-friendly, scalable, and automated approach to machine learning, enabling users—from beginners to advanced data scientists—to create predictive models without requiring deep technical expertise.

BigML offers a wide range of machine learning tools that cater to various types of modeling tasks, including classification, regression, anomaly detection, time-series forecasting, and more. It also provides tools for feature engineering, model evaluation, and interpretability, along with seamless integration into production environments.

INSIGHTS

Our insights about BigML pricing

01

Personalizes training

02

No coding required

03

14-day free trial

Available Pricing Models

How much does BigML cost?

BigML is helping thousands of analysts, software developers, and scientists around the world to solve Machine Learning tasks end-to-end, seamlessly transforming data into actionable models that are used as remote services or, locally, embedded into applications to make predictions.

Standard

  • - Full BigML functionality and unlimited number of resources. - Different plans based on dataset size and number of parallel tasks needed. - Flexibly adapted servers topology and prioritized job queues. - Access to BigML Organizations, which let you collaborate on projects with team members.
  • $30/month.

What users say about BigML pricing

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Siddharth S.

BigML is a great Tool in the Machine Learning Field because of its dynamic work models. BigML I am used is classification of the data set and it is very easy and Responsible.

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Riya T.

I every time need a internet connection to test my application or even after I make a full working product. They provide no offline support like the famous machine learning library scikit-learn which is open source too. BigML is a paid service where as we can find many services in this market which are free of cost.

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Jaimil M.

t's not free and provides very less perks in free pack.

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Prit S.

It is not a free service, where as one can easily find many open source libraries such as scikit-learn that meets the purpose and even its free.

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Harsh P.

The best thing about BigML is you don't need any files on your local system, just an internet connection and API will let you do anything you want, from model deployment to prediction. You can save the model on cloud and use it from any device you want. Also, one more thing I would like to mention is the free datasets they provide for playing around with your models, there is a wide range of datasets that one can use directly with API.

avatar

Siddharth S.

BigML is a great Tool in the Machine Learning Field because of its dynamic work models. BigML I am used is classification of the data set and it is very easy and Responsible.

avatar

Prit S.

It is not a free service, where as one can easily find many open source libraries such as scikit-learn that meets the purpose and even its free.

avatar

Riya T.

I every time need a internet connection to test my application or even after I make a full working product. They provide no offline support like the famous machine learning library scikit-learn which is open source too. BigML is a paid service where as we can find many services in this market which are free of cost.

avatar

Harsh P.

The best thing about BigML is you don't need any files on your local system, just an internet connection and API will let you do anything you want, from model deployment to prediction. You can save the model on cloud and use it from any device you want. Also, one more thing I would like to mention is the free datasets they provide for playing around with your models, there is a wide range of datasets that one can use directly with API.

avatar

Jaimil M.

t's not free and provides very less perks in free pack.

BigML Pricing Rating

Model Evaluation and Comparison: 4.8/5

After training a model, BigML provides a comprehensive set of evaluation tools to assess its performance using metrics like accuracy, precision, recall, F1 score, and AUC. Cross-validation support allows for reliable evaluation, ensuring that models generalize well to unseen data. BigML also allows users to compare multiple models to determine which performs best on their data.

Data Preprocessing: 4.8/5

BigML offers tools for data preprocessing, including data cleaning, feature selection, transformation, and normalization. This is critical for ensuring that your machine learning models are trained on high-quality data.

Scalability: 4.9/5

BigML is built to handle datasets of all sizes, and its cloud-based architecture allows it to scale as needed. Whether you have a small dataset or large enterprise-scale data, BigML can process and analyze it efficiently.

FAQ on BigML Pricing

How does BigML handle model training?

BigML automates many aspects of the model-building process, including data preprocessing, algorithm selection, and training. You simply upload your dataset, and BigML handles the rest. It also offers customization options for more advanced users to fine-tune the process.

How does BigML handle feature selection?

BigML supports automatic feature selection as part of its machine learning workflows. You can also manually select and engineer features to improve model accuracy. The platform provides tools for exploring data, performing data transformations, and visualizing feature importance.

Can I integrate BigML with my applications?

Yes, BigML provides REST APIs that allow you to integrate trained models into your own applications, websites, and mobile apps. This enables you to make predictions in real time or batch mode without needing to build your own machine learning infrastructure.

Can I share my models with other users?

Yes, BigML allows you to share models, datasets, and projects with other users. You can collaborate with colleagues or clients, giving them access to view or edit models, share insights, and refine results. The platform supports both individual and team-based collaboration.