Data science for data-driven startups

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About evaluation

When deploying a model, one very important thing is to monitor the results. Does it work like you’ve expected? I’m not talking about pre production […]

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Machine learning vs simulation

Lately, I was thinking on the difference between machine learning and simulation (for prediction).  Machine learning use historical inputs and outputs to find subsequent outputs. […]

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INFORMS Data Mining Contest Part 1

A new data mining contest is available here.  The functional domain is medical, more precisely there is two tasks. First, we need to prediction if […]

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The cost of reducing costs

Predicting the number of sales representatives on a particular time on a particular store is harder than expected. If you instrument the whole process, you […]

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Book review : Programming Collective Intelligence

Programming Collective Intelligence is a great book. It covers most of the existing data mining algorithms and presents many applications for them.  It covers clustering […]

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How to : What to do when your model fails?

Sometimes (well most of the time) using your favorite data mining methods and the more obvious attributes are not good enough. What to do then? […]

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Data mining tools

When it comes to data mining the tool you use is very important. It seems that peoples use many software (see How many software packages […]

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What is the value of your work?

It’s a damn good question which should be tightly correlated to your salary in an utopic world. In other words, how do you justify your […]

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Book review : Actionable Web Analytics

Actionable Web Analytics : Using Data to Make Smart Business Decisions is a marketing book like Competing on Analytics. A lot of sentences to say […]

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A Twitter users segmentation

Now it’s time to create some clusters from our twitter data. In this post, we focus only on biographical tags and we use the old […]

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