Google Cloud TPU

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

17 Alternatives To Google Cloud TPU

AWS SageMaker Ground Truth

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

BigML

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

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
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GoLearn

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

Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise
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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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Microsoft Machine Learning Server

Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.
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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.

Scikit-learn

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

WEKA

WEKA is a set of powerful data mining tools that run on Java.

XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
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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.