Anomaly detection

I’m sure you have heard about auto-encoders before. They are neural networks trained to learn efficient data representations in an unsupervised way. They have been proof useful in a variety of tasks like data denoising or dimensionality reduction. However, with a vanilla configuration they seldom work. Hence, in this post…


Rethink

No trespassing by Djuradj Vujcic

Machine Learning-based technologies have not historically been developed with security and privacy in mind. They have been around with luxury and concessions because of the challenges it supposes to look at the data without seeing the data. …


Automatic Machine Learning

While Machine learning keeps achieving considerable successes in solving and improving any kind of problems, an ever-growing number of disciplines rely on it. However, this success crucially relies on machine learning experts to perform manual tasks. …


Model interpretability

For an introduction to the subject see:

As we saw in my Introduction to the Model interpretability, the most straightforward way to get an interpretable machine learning model is to use an algorithm that creates interpretable models at the very beginning. This includes models like Linear Models, Decision Trees, etc.

General Idea


Shipping ML to production

If we shall name two trends in modern applications, one should mention containers and machine learning. More and more applications are taking advantage of containerized microservices architectures in order to enable improved elasticity, fault-tolerance, and scalability — whether or on-premise or in the cloud. …


Model interpretability

Following the sequence of posts about model interpretability, it is time to talk about a different method to explain model predictions: Feature Importance or more precisely Permutation Feature Importance. …


Model interpretability

In a previous post, I wrote about why checking model fairness is such a critical task. I am starting here a series of post where I will share with you some ways you can achieve different levels of interpretability from your model and make it confess. …


Burger King AI-generated Ads and said “Burger King’s new chicken fries are the new potato. We are not sorry, the potato deserved this”. (Source)

Two weeks ago OpenAI published its new language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs reading comprehension, machine translation, question answering, and summarization — all without task-specific training and on an unsupervised fashion. …


This is Part 3 of the series. If you missed the first one, or second one, worry-do-not, thank Gosh Internet is not like 90’s TV shows, so here you have the on-demand link to Part 1 and Part 2.

Let’s recap:

About this series

Azure Machine Learning Services (AML) provides a cloud-based environment…

Facundo Santiago

Solution Architect at the Office of CTO @ Microsoft. Machine Learning and Advanced Analytics. Sensemaking by engaging first hand. Frustrated sociologist.

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