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Latest Articles

Deep Learning with Theano - Part 1: Logistic Regression

Over the last ten years the subject of deep learning has been one of the most discussed fields in machine learning and artificial intelligence. It has produced state-of-the-art results in areas as diverse as computer vision, image recognition, natural language processing and speech recognition. However it has also been widely hyped - the answer to all machine learning problems - and is often misunderstood due to its steep learning curve. Read more...

How to Learn Advanced Mathematics Without Heading to University - Part 2

In the last article in the series we looked at the foundational courses that are often taken in a four-year undergraduate mathematics course. We saw that the major courses were Linear Algebra, Ordinary Differential Equations, Real Analysis and Probability. In the "second year" of our self-study mathematics degree we'll be digging deeper into analysis and algebra, with discussions on the Riemann integral, abstract algebra, metric spaces and vector calculus. Read more...

Advanced Algorithmic Trading and QSTrader Updates

This is just a short post to let readers know that the Advanced Algorithmic Trading pre-order ebook has had a new update posted, adding 40+ pages of new material. To access the new content, customers simply need to follow the download link received in the original purchase email. If the download email has been misplaced then please email support@quantstart.com and the updated version will be sent out. Read more...

QuantStart April 2016 News

This is a quick update to let the QuantStart community know what has been happening in the last few months as it has been an exciting time "behind the scenes" of the site. Read more...

Bayesian Linear Regression Models with PyMC3

To date on QuantStart we have introduced Bayesian statistics, inferred a binomial proportion analytically with conjugate priors and have described the basics of Markov Chain Monte Carlo via the Metropolis algorithm. In this article we are going to introduce regression modelling in the Bayesian framework and carry out inference using the PyMC3 MCMC library. Read more...