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Making Fairness an Intrinsic Part of Machine Learning
Editor’s Note: At ODSC Europe 2019, Sray Agarwal will conduct a workshop on fairness and accountability demonstrating how to detect bias and remove bias from ML models.   The suitability of Machine Learning models is traditionally measured on its accuracy. A highly accurate model based on metrics like RMSE,... Read more
Comparing Point-and-Click Front Ends for R
For an updated version of this post, see:http://r4stats.com/articles/software-reviews/r-gui-comparison/. Now that I’ve completed seven detailed reviews of Graphical User Interfaces (GUIs) for R, let’s compare them. It’s easy enough to count their features and plot them, so let’s start there. I’m basing the counts on the number of menu items in each... Read more
What do Popular Movies About AI Get Wrong?
AI has been a popular topic for movies and fascinated audiences for over 60 years. Hollywood hasn’t always gotten it right—in fact, most of the time, they’ve been totally off. What is it about artificial intelligence that entices directors? What are they missing when they create movies about AI?... Read more
Optuna: An Automatic Hyperparameter Optimization Framework
Preferred Networks has released a beta version of an open-source, automatic hyperparameter optimization framework called Optuna. In this blog, we will introduce the motivation behind the development of Optuna as well as its features.     Website Documents... Read more
IBM Research Launches Explainable AI Toolkit
Explainability or interpretability of AI is a huge deal these days, especially due to the rise in the number of enterprises depending on the decisions made by machine learning and deep learning. Naturally, stakeholders want a level of transparency for how the algorithms came up with their recommendations. The... Read more
Data Visualization for Academics
One of the reasons I am excited about the rise of data journalism is that journalists are doing amazing things with visualization. At the same time, one of my frustrations with academic research is that the general quality of visualization is so poor. One of the problems is that... Read more
What is Augmented Programming?
Ed Note: Gideon is speaking at ODSC Europe 2019, see his talk “Augmented Programming” there. Over the past decade, deep learning research has led to significant advances in perceptual tasks, such as object detection, face recognition, and speech recognition. In each of these use cases, raw real-world inputs have... Read more
Best Deep Reinforcement Learning Research of 2019 So Far
In this article, I’ve conducted an informal survey of all the deep reinforcement learning research thus far in 2019 and I’ve picked out some of my favorite papers. This list should make for some enjoyable summer reading!   As we... Read more
Some Details on Running xgboost
While reading Dr. Nina Zumel’s excellent note on bias in common ensemble methods, I ran the examples to see the effects she described (and I think it is very important that she is establishing the issue, prior to discussing mitigation). ... Read more
Why the Government of Tomorrow is Also a Data Organisation
Nowadays, every organisation is a data organisation. This not only applies to commercial organisations, but also to governments. Governments at every level – local, regional, national and supranational – should take a different approach to organise their activities. However, becoming... Read more