September 2018

What if we had oracles for common machine learning problems?

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Rough working notes, musing out loud. Much effort in machine learning and AI research is focused on a few broad classes of problem. Three examples of such classes are: Classifiers, which do things like classify images according to their category, generalizing from their training data so they can classify previously unseen data in the wild; Generative models, which are exposed to data from some distribution (say, images of houses), and then build a new model which can generate […]

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Generate a documentation for an ASP.NET Core Web API using Swagger

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Hi everyone! I hope you’re having a great sunday. Me and my collegue decided this week to rewrite an api made with Laravel Lumen using ASP.NET Core. While doing so, I was wondering wheter some kind of tool existed to help generate the documentation of the API (since we all know writing a documentation is the least fun thing in programming) and I came across Swagger.

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The varieties of material existence

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By Michael Nielsen Status: Rough and speculative working notes, very quickly written – basically, a little raw thinking and exploration. Knowledgeable corrections welcome! William James wrote a book with the marvellous title “The Varieties of Religious Experience”. I like the title because it emphasizes just how many and varied are the ways in which a human being can experience religion. And it invites followup questions, like how aliens would experience religion, whether other animals could have religious experiences, […]

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Learning Machine Learning

Learning Machine Learning

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Machine learning is one of the most interesting and advancing aspects of engineering and computer science. It shows you the potential of machines in our modern day world. Machine learning is essentially making a machine learn to perform different tasks by feeding enormous amounts of data. To accomplish this, there are multiple algorithms used for machines to learn and adapt to perform a task easier with new inputs. One of the algorithms is called neural networks. A Neural […]

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Ethical Machine Learning

Ethical Machine Learning

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With machine learning increasingly automating many previously manual decision making processes, it’s time to reflect not only on the algorithms’ performances but also on the ethical issues involved. Here are some questions about ethical concerns: Fairness: are the outputs of our algorithms fair towards everyone? Is it possible that they discriminate against people based on characteristics such as gender, race, and sexual orientation? Are developers responsible for potential bad usages of their algorithms? Accountability: who is responsible for the output of […]

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