machine learning Archives

se-stackoverflow June 6, 2023

MosaicML: Deep learning models for sale, all shapes and sizes (Ep. 577)

Ben and Ryan talk with Jonathan Frankle and Abhinav Venigalla of MosaicML, a startup trying to make deep learning and generative AI efficient and accessible for everyone.

Eira May Senior Content Marketer

se-stackoverflow February 24, 2023

ML and AI consulting-as-a-service (Ep. 542)

The home team talks with Jaclyn Rice Nelson, cofounder and CEO of Tribe AI, about the explosion of hype surrounding generative AI, what it’s like to work at a startup after working at Google, and how Tribe is leveraging the power of a specialist network.

Eira May Senior Content Marketer

partner-content January 4, 2023

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.

Ryan Donovan

code-for-a-living January 4, 2023

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.

Tobias Kupek

code-for-a-living October 17, 2022

Privacy-friendly machine learning data sets: synthetic data

Statistically-relevant data, but not actually exploitable.

Ryan Donovan

code-for-a-living September 7, 2022

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.

Shrikant Desai and Sowmya Subramanian

se-stackoverflow August 26, 2022

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 Senior Content Marketer

se-stackoverflow January 28, 2022

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.

Ryan Donovan

code-for-a-living November 15, 2021

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.

Tobias Kupek

code-for-a-living June 14, 2021

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.

Raymond Lo

code-for-a-living October 12, 2020

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.

Rising Odegua