Machine Learning is probably the most important development in our industry (and possibly our civilization!). Previously restricted to math geniuses with access to supercomputers and massive data centers, machine learning tools are increasingly available as web services which are easily consumed from more traditional web applications. Python has become the lingua franca of machine learning, so Python developers are well placed to take advantage of the next wave of application development.
This talk outlines the various machine learning platforms and provides a set of practical examples that demonstrate how Python developers can start taking advantage of artificial intelligence in their own applications.
The intended audience is pretty wide: web developers, students, data scientists should all come away with a set of ideas and tools for implementing machine learning without needing a degree in artificial intelligence!
Tom is the technical director of Torchbox, a UK software company which uses Python to make the world a better place. He runs the open source Wagtail project, designing and maintaining the leading Python CMS, used by NASA, Google, Mozilla, and Apple. His current interests include serverless architectures, headless content management, and practical machine learning.