Machine learning APIs and frameworks: 15 machine learning tools for data scientists and developers

More and more businesses are looking at how they can use machine learning in their operations

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With businesses increasingly keen on incorporating artificial intelligence into their operations, machine learning – the ability for a system to learn from large data sets rather than following preset rules – offers a number of benefits. This might mean building predictive models for fraud prevention in financial services, for example, or retailers making better recommendations to their customers. 

Google, Microsoft, IBM and AWS all offer machine learning APIs via their respective cloud platforms, making it easier for developers to build services by abstracting some of the complexity of their algorithms. There are also a growing number of open source deep leaning frameworks for data scientists to use at a deeper level.

Earlier this week Amazon announced that it is open-sourcing its deep learning library, Deep Scalable Sparse Tensor Network Engine, (DSSTNE), which is now available on GitHub. And on Thursday, Google opened its SyntaxNet neural network framework for developers to build applications that can process human language.

Here are some of the top machine learning tools...

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