Facebook Releases Guide to Apply Machine Learning to Real-World Problems

Off late, Facebook seems to be going all out to train people on emerging technologies in the market. Recently, Sheryl Sandberg, Chief Operating Officer of Facebook announced that the company is looking to train one million people and small business owners in digital skills across the US by 2020. Facebook said that this step was taken in a bid aid the economy and that that they wanted to help people learn the skills they needed to thrive in the digital world.

As part of the ongoing efforts, Facebook has also rolled out a video series to train people on machine learning. The six part video series titled ‘The Facebook Field Guide to Machine Learning’ has been developed and compiled by the Facebook ads machine learning team. The series aims at sharing best real-world practices and provides practical tips about how to apply machine learning capabilities to real-world problems.

The videos could be helpful to engineers and new researchers to apply their machine learning skills to their product or use case, and on how to use machine learning models effectively to deliver the business outcome they are trying to achieve. The series breaks down the machine learning process into six steps: problem definition, data, evaluation, features, model and experimentation.

Each of these steps have been defined and explained in six short videos so one can learn about these topics in less than an hour. Facebook has already made clear its intent to create more in-person training programs, offering online classes and partnering with local and national organizations to help students prepare for jobs. How the company goes on to reiterate their commitment will be seen when more such videos and online classes are rolled out.