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Data Science Community News | Volume 1, Issue 4
By
Christina Howell
posted
Mon November 11, 2019 12:34 PM
Like
November 2019 | Volume 1, Issue 4
Spotlight
Technique Makes it Easier for AI to Understand Video
Understanding actions in video is complex, but MIT and IBM teamed up to produce the Temporal Shift, which reduces training time from over 49 hours to under 15 minutes! This development could fundamentally change the economics of applying AI to comprehend videos. In what application would you use AI to better understand video content?
READ THE ARTICLE »
AI Skills
New! Certification for Practicing Data Scientists
There are not many offerings available for professional data scientists to advance their skills. Find out about IBM's new AI Workflow Certification.
Read more
Interpretable Machine Learning Book
Machine Learning is commonly black box and difficult-to-explain to decision makers. Chistoph Molnar published his excellent aproach to ML that is easily interpretable to make results more understable.
Read more
Tools & Libraries
Apache OpenWhisk
Are you small? Loosely coupled? And some have application logic? You might be a microservice. Apache OpenWhisk makes event handling for services easy.
Read more
Netflix Open Sources Polynote to Make Data Science Notebooks Better
Polynote is a multi-language notebook development and exploration environment. It enables editing and manages the challenges of hidden states that hinder development in traditional notebooks.
Read more
Solutions & Products
Visualizing Personality Profile of A Film Character Using Python & IBM Watson
See a hands-on walk through on how to analyze the personalities of movie characters with Watson's Personality AI algorithms.
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Infrastructure for Data Science
Solutions to infrastructure challenges, posed by data science applications, are well understood when they overlap with traditional software development; see how they're solvable.
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Research
A Unified Approach to Interpreting Model Predictions
Shapley values help us think through how to attribute cause in black-box models. This foundational paper walks through the framework (SHAP) and how it is an efficient generalization of other feature importance techniques through the use of game theory.
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AI Automation for AI Fairness
A step-by-step walk through on how to integrate AI Fairness 360 and streamline hyperparameter selection through automated tuning.
Read more
Events
See all upcoming community events,
here
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DataCouncil NYC
Nov 12–13 | Live Event | Columbia University, New York
PyData LA
Dec 3–5 | Live Event | California State University, Los Angeles
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