Machine learning helps Google to not just understand where there are similarities in queries, but we can also see it determining that if I need my car fixed I may need a mechanic (good call Google ...

The concept of machine learning is becoming better understood as we increasingly interact with it every day. From Netflix and Amazon recommendations, to Siri and Cortana voice recognition, to Google ...

Under the Internet of Trains project, Siemens has embedded sensors in trains and tracks in select locations in Spain, Russia and Thailand, and then used the data to train machine-learning models ...

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm. This quote couldn’t apply better to general search ...

The cost of diagnosis Recent years have seen an explosion in the number of ML projects powered by deep learning architectures. But along with the fantastic promise of deep learning comes the most ...

Machine learning algorithms Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

Team is fixing… please stand by. — OpenAI (@OpenAI) August 12, 2021 Hopefully, this brief post will help you better assess your machine learning project and avoid mistakes.

In an earnings call late last year, CEO Sundar Pichai laid out the corporate mindset: “Machine learning is a core, transformative way by which we’re rethinking how we’re doing everything.

How To Exclude Bias From A Machine Learning Algorithm There are three key rules that my team and I always observe when creating ML algorithms: • Ensure proper data collection.