Build github repositories in the cloud and run unit tests as well as send coverage reports to coveralls to get better code coverage for your reposetories and decrease downtime.
Learn the basics and get up and runing with the least learning curve. Come with many powerful libraries to help decrease the cost to get startd.
Solve many ML problems with libraries already created for python. Some example problems to solve include recommendation products, image classification, neural networks, and unsupervised classification algorithms.
Natural language processing has never been easier. Now anyone with limited technical ability can create a dynamic chat bot to interact with their customers on facebook. Additionally, prototype alexa and google home apps with api.ai...
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