Introduction to PAC Learning

What is “learning” and do we have a formal model for it? I’ve decided to dive into the theoretical underpinnings of machine-learning, so here’s a quick introduction to...

Machine-learning

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Understanding p-values

Hypothesis testing and p-values are often misused and misunderstood. In this article, I explain what a p-value is, and how to use it.

Statistics

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Polynomial basis expansion

Polynomial basis expansion, also called polynomial features augmentation, is part of the machine-learning preprocessing. It consists in adding powers of the input’s components to the input vector.

Machine-learning

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Scraping with Python3 and Scrapy

Scrapy is one of the most popular Python framework for large scale web scraping. It gives you all the tools you need to efficiently extract data from websites,...

Python

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Scraping with BeautifulSoup

In a previous article, we discussed how to use python and urllib to scrape the web. In this article, we will see how the BeautifulSoup library replaces regexes...

Python

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A Bayesian Perspective

Probability is not a property of an event or state; there is no such thing as the probability that the coin lands showing head. Probability expresses a strength...

Statistics

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Data-science

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Statistics

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Math

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Python

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Machine-learning

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Definitions

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