In this online data science specialization, you will apply machine learning algorithms to real-world data ... And finally, you will close out the specialization with an introduction to deep learning ...

The basic algorithm is easy enough, but it is interesting to be able to quickly experiment with learning parameters and a spreadsheet will help with that. I put the spreadsheet you can see below ...

This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...

When it comes to the real estate industry, we have traditionally relied on local economic indicators, insights from personal ...

Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data. We will start with an introduction to Unsupervised Learning.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. US technology ...

A machine learning algorithm that used self-reports and blood samples recently identified bipolar disorder patients in various scenarios, potentially providing a helpful supplement for clinicians ...

Cam-to-cam sites often feature a mix of live and pre-recorded content. Machine learning analyzes user engagement data to ...