BigML Alternatives
The best BigML alternatives based on verified products, votes, reviews and other factors.
Latest update:
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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IBM Watson Machine Learning Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.
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Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
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Do you want to do machine learning using Python, but youβre having trouble getting started? In this post, you will complete your first machine learning project using Python.
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Train custom ML models with minimum effort and expertise
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IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.
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A high-level language and interactive environment for numerical computation, visualization, and programming
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Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
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Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
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Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
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Categories: Technical Computing, Numerical Computation, Data Science And Machine Learning