Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

18 Alternatives To Google CLOUD AUTOML

AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
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Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Apple Core ML

Integrate a broad variety of ML model types into your app

Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

BigML

BigML’s goal is to create a machine learning service extremely easy to use and seamless to integrate.
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GoLearn

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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IBM Watson Machine Learning

IBM Watson Machine Learning Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.
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IBM Watson Studio

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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MATLAB

A high-level language and interactive environment for numerical computation, visualization, and programming
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Microsoft Recommendations API

Obtains details of a cached recommendation.

Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Turbonomic

Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.
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Unity Machine Learning

Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.
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Will This Happen

Bringing (uncertain) certainty to politics
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machine-learning in Python

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.