The future of software engineering is powered by AIOps and open source (Ep. 523)
Hear how Intuit is using AI to help its dev teams ship faster.
Getting your data in shape for machine learning
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.
Privacy-friendly machine learning data sets: synthetic data
Statistically-relevant data, but not actually exploitable.
How machine learning algorithms figure out what you should watch next
Curation at scale needs to process a lot of data with a good algorithm.
The luckiest guy in AI (Ep. 477)
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.
Eira May
Content Writer
Using synthetic data to power machine learning while protecting user privacy
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.
Building a QA process for your deep learning pipeline in practice
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.
Let’s enhance: use Intel AI to increase image resolution in this demo
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.
How to put machine learning models into production
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.
CROKAGE: A New Way to Search Stack Overflow
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…
Ben Popper
Director of Content
Power of Babble – How Primer AI is mining valuable insights from a deluge of documentation
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…
Ben Popper
Director of Content