Machine learning uses data structures that don't always resemble the ones used in standard computing. You'll need to process your data first if you want efficient machine learning.
Serial entrepreneur Varun Ganapathi joins the home team for a conversation about the intersection of physics, machine learning, and AI. He offers some recommendations for developers looking to get started in the ML/AI space and shares his own path from academia to entrepreneurship.
On this episode, we talk to John Myers, CTO and cofounder of Gretel, a company that provides synthetic data for training machine learning models without exposing any of their customers personally identifiable information.
Deep learning models still need testing, but many of the common testing approaches don't apply. But with the right methods, you can still make sure your pipeline produces good results.
Across alien epics and procedural crime dramas, detectives and truth seekers have repeated the mantra: zoom and enhance. It’s passed into popular culture as a much-beloved meme, but in recent years, machine learning has increasingly made this fiction trope into an accessible reality. And we've got the demo to prove it.
The goal of building a machine learning model is to solve a problem, and a machine learning model can only do so when it is in production and actively in use by consumers. As such, model deployment is as important as model building.
One of the most powerful attributes of Stack Overflow (SO) is the accumulation of developers’ knowledge over time. Community members have contributed more than 18 million questions and 27 million answers. When a developer is stuck on a coding problem, they search through this vast trove of information to see if a solution to their…
There is an astounding amount of new text produced every day. Millions of daily news articles, blog posts, and social media make up a vast trove of documents that would take the average person a lifetime to read. How can anyone stay on top of this river of new information? More importantly, how can you…