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%.
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.
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.
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.
MATLAB
A high-level language and interactive environment for numerical computation, visualization, and programming
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.
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.
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.