May 12, 2021

7 Posts

Different models in production
May 12, 2021

ML in Production: Essential Papers

Deploying models for practical use is an industrial concern that generally goes unaddressed in research. As a result, publications on the subject tend to come from the major AI companies.
Craig Wiley speaking
May 12, 2021

MLOps for All

Craig Wiley has journeyed from the hand-deployed models of yore to the pinnacle of automated AI. Today, as chief product manager of Google Cloud’s AI services, he’s making advanced tools and processes available to anyone with a credit card.
Pictures of Robert Crowe, Andrew Ng and Laurence Moroney (from left to right)
May 12, 2021

The Batch Special Issue! Machine Learning in Production: MLOps at scale with Amazon, Google, Microsoft

So you’ve trained an accurate neural network model in a Jupyter notebook. You should celebrate! But . . . now what? Machine learning engineering in production is an emerging discipline that helps individual engineers and teams put models into the hands of users.
Graph showing types of phishing attacks
May 12, 2021

24/7 Phish Fry

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.
Original vs processed image checking for leaks on a compressor
May 12, 2021

Super-Human Quality Control

A computer vision model, continually trained and automatically updated, can boost quality control in factories. Landing AI, a machine learning platform company led by Andrew Ng, helped a maker of compressors for refrigeration check them for leaks.
Web-based software for managing customer relationships
May 12, 2021

Bespoke Models on a Grand Scale

When every email, text, or call a company receives could mean a sale, reps need to figure out who to reply to first. Machine learning can help, but using it at scale requires a highly automated operation.
Pictures of Robert Crowe, Andrew Ng and Laurence Moroney (from left to right)
May 12, 2021

Introducing the Machine Learning Engineering for Production (MLOps) Specialization

So you’ve trained an accurate neural network model in a Jupyter notebook. You should celebrate! But . . . now what? Machine learning engineering in production is an emerging discipline that helps individual engineers and teams put models into the hands of users.

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