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5 Best Machine Learning Platforms For Developers

According to Gartner, organizations and data scientists rely on data science and machine learning platforms to build and deploy data science models using

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Ashok Pandey
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machine learning platforms

Right tool in your hand can lead to your success. The field of Machine learning is growing rapidly, so the job openings in the sector too. Developers who are looking for their career upgrade, moving towards the ML and brushing up their skills. There are various Machine Learning Platforms, and according to Gartner, organizations and data scientists rely on data science and machine learning platforms to build and deploy data science models using an end-to-end approach.

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So, which platform is right for you to choose for career upgrade! Here is a comprehensive list of 5 best machine-learning platforms.

Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepares your data, choose an algorithm, train the algorithm, tune and optimize it for deployment, make predictions, and take action. Your models get to production faster with much less effort and lower cost.

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ai-one

Using ai.one, developers can create intelligent assistants that can be easily deployed on nearly any software application. The tool comes with numerous resources includes developer APIs, a document library, and building agents.

IBM Watson

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IBM Watson platform is developed for both, developers and users with plenty of AI tools. Developers can build virtual agents, chatbots, and cognitive search engines with the use of starter kits, sample code, and other tools that can be accessed via open APIs.

Microsoft Azure Machine Learning

The Microsoft Azure machine learning tools that allow developers to build their own artificial intelligence models. It provides SDKs and services to quickly prep data, train, and deploy machine learning models. Improve productivity and costs with autoscaling compute & pipelines. Use these capabilities with open-source Python frameworks, such as PyTorch, TensorFlow, and scikit-learn. Get started with our quickstarts and tutorials.

Apache PredictionIO

It is an open-source stack that that also has an open-source server. Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task.

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