I’ve seen a lot of failed machine learning models in the course of my work. I’ve worked with a number of organizations to build both models and the teams and culture to support them.

There is no question that machine learning is at the top of the hype curve. And, of course, the backlash is already in full force: I’ve heard that old joke “Machine learning is like teenage ...

"Machine learning is at an embryonic stage. A lot of people are saying big things about the application of the technology -- but when you look under the bonnet, they're not actually doing it.

Building a team for a machine learning project is no easy task. With more and more companies turning to AI solutions, the number of experienced scientists and engineers falls far short of the demand.

Together, this team will run the project, prepare the data, and use the machine learning algorithms. The SEO expert is best positioned to double as a project manager and handle communication with ...

01-09-2020 work life 3 times when it’s better to work alone, rather than on a team For maximum productivity—and creativity—these are the times when you should tackle a project solo.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

In the social sector, machine learning is particularly ripe for use in addressing two kinds of problems. The first is prevention problems. If an organization focused on conflict resolution can predict ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.