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Alfredo Motta

Software Engineering, Machine Learning and Innovation blog.

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Tag: machinelearning

Not So Random Software #41 – Expectations

Not So Random Software #41 – Expectations

Categories:NewsletterUpdated on: October 27, 2020October 27, 2020 mottalrd

Hello everyone and welcome back to Not So Random Software! This week I have been thinking about statistics and expectations. Mental models like statistical significance …

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Not So Random Software #31 – Collaborative Filtering, Coaching, Rails performance and SQL views

Not So Random Software #31 – Collaborative Filtering, Coaching, Rails performance and SQL views

Categories:NewsletterUpdated on: July 22, 2020June 25, 2020 mottalrd

Hello everyone and welcome back to Not So Random Software! This week links are as random as it gets; we will start with a research …

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Not So Random Software #30 – Learning to rank

Not So Random Software #30 – Learning to rank

Categories:NewsletterUpdated on: July 22, 2020June 11, 2020 mottalrd

Hello everyone and welcome back to Not So Random Software! It’s been a while since I blogged about neural networks and how to use them …

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Not So Random Software #12 – Software Architecture

Not So Random Software #12 – Software Architecture

Categories:NewsletterUpdated on: July 22, 2020February 2, 2020 mottalrd

Welcome back to Not So Random Software. This week’s links are dedicated to Software Architecture. Experts might define it as the art of taking decisions …

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Learning to rank with Python scikit-learn

Learning to rank with Python scikit-learn

Categories:ArticleUpdated on: July 22, 2020May 3, 2017 mottalrd

If you run an e-commerce website a classical problem is to rank your product offering in the search page in a way that maximises the …

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Compute property recommendations: A collaborative filtering approach

Compute property recommendations: A collaborative filtering approach

Categories:ArticleUpdated on: July 22, 2020August 23, 2014 mottalrd

In this blog post I’ll show how to build a simple recommendation engine for apartments. What are the possible design choices, how to implement them …

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