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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.

20 Alternatives To IBM Watson Machine Learning

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.

Azure Batch AI

Learn about what happened to Azure Batch AI and the Azure Machine Learning service compute option.

Azure Machine Learning Service

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Azure Machine Learning Studio

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

BP Logix BPMS

BP Logix BPMS is a smart forms and workflow software help to create a business environment that is highly responsive, accountable, and compliant.

BigML

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

Read writing from Deep Cognition on Medium. Every day, Deep Cognition and thousands of other voices read, write, and share important stories on Medium.

Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

Google Cloud TPU

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

Infosys Nia

Infosys Nia is an integrated enterprise AI platform that helps organizations redefine their AI journey and solve complex business problems. Nia’s capabilities include Data Management, NLP, Cognitive Search, Conversational AI & many more.
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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.

Oracle Data Science Cloud Service

Discover a data science platform that makes data science teams more productive, decreasing time to value, and ultimately creating a more robust business, powered by machine learning.

Peak

Peak is the automated way to keep track of what everyone is working on.
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Pega Platform

The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

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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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.