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Blog Entry
Deploy AI, Virtual Community Day

IBM Data Science Virtual Community Day: Deploy AI What is it? Why are we doing it? What should you expect? Upcoming on March 10th is the IBM Data Science Community's virtual conference . It's a virtual event where external thought leaders, IBM experts, and researchers will teach you how...


Blog Entry
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

Blog Entry
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

Blog Entry
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

Blog Entry
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

Library Entry
Tutorial: IBM Watson Studio AutoAI: Modeling for the rest of us

AutoAI makes machine learning and AI accessible to all. Let's explore what is required to use it and create models. Then we can see how we can use the model through Watson Studio or programmatically through a notebook using Python. Tutorial Creating models manually is difficult. It starts...


Event
Hands on Introduction to Machine Learning / Deep Learning (McLean, VA)

Agenda Machine Learning is having an impact on just about every industry. Data is everywhere, and organizations that can sift through their mountain of data for key insights using machine learning will emerge ahead of the competition. Machine Learning is at work “under the covers” in many...

 Tue July 23, 2019 | 08:30 AM - 04:30 PM ET
 McLean VA


Blog Entry
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

Blog Entry
Challenged using #Jupyter Notebooks at scale in your organization?

Challenged using #Jupyter Notebooks at scale in your organization? Sam Charrington (@samcharrington) and Luciano Resende (@lresende1975) spent some time discussing these challenges and the role of open source projects, like Jupyter Hub (LINK) and Jupyter Enterprise Gatweay , in making this...


Blog Entry
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