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Introducing AutoML

by Paco Nathan and Will Roberts AutoML is a term that appears increasingly in tech industry articles and vendor product claims, and is also a hot topic within AI research in academia. Consider how nearly all of the public cloud vendors promote some form of AutoML service. The tech ...

Paco Nathan's profile image

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Federated Learning - Part 2

1. Introduction In the first of our blog series on federated learning in partnership with IBM Research, we wrote about the mechanism for federated learning as well as the technology behind the paper that won the Best Paper Award 2019 at AISec 2019. It is very helpful to start with that blog...

NATHALIE BARACALDO's profile image

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IBM and a Department Store Build a Recommender

IBM and a Department Store Build a Recommender -- Intro: Why this Article? Recommendation systems are an especially important tool for businesses today selling a multitude of products. They allow those businesses to infer for their customers their potential interest in products they...

William Roberts's profile image

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ML Ops Day, OSCON 2019

Tuesday, July 16, 2019 : at the OSCON open source conference this year in Portland, we hosted a track called ML Ops Day: Managing the end-to-end ML lifecycle – sponsored by the IBM Data Science Community. Even though our call for proposals for the track was open for only a few weeks,...

Paco Nathan's profile image

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How IBM and a supply chain company predict employee retention

Context The IBM Data Science Elite (DSE) is a team of data scientists and data engineers who work with a select group of IBM clients to test and implement data science solutions — at no additional cost to those clients. The DSE team is the result of a stark reality that companies...

William Roberts's profile image

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I <3 Graphs

“Graphs are a basic kind of data representation used in data science.” I recall writing that line on a whiteboard a few years ago during a course, to see what responses it might draw. I heard back a few “Well, is that really true?” remarks. By “graphs”, I don’t mean the sense of “graphics” and ...

Paco Nathan's profile image

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Bias and tools - WiDS@Stanford

There are many conversations on the topic of bias happening wherever data science and in particular machine learning or deep learning are discussed. In this blog I want to explore the topic from a different perspective, one that was inspired by Hilary Parker (Data Scientist at Stich Fix)...

Kinga Szekessy Parrott's profile image

Blog Entry
What is Data Science?

What is data science ? At this point, roughly a decade after the general introduction of data science in industry, is there a standard definition used? One often-cited tagline comes from a popular 2012 tweet by Josh Wills: Data Scientist (n.): Person who is better at...

Paco Nathan's profile image