Machine Learning
First full draft of “Data Science and Analytics with Python”
First full draft of “Data Science and Analytics with Python”
How much should we fear the rise of artificial intelligence?
When the arena is something as pure as a board game, where the rules are entirely known and always exactly the same, the results are remarkable. When the arena is something as messy, unrepeatable and… Read More »How much should we fear the rise of artificial intelligence?
A good opening for a book chapter
In his book The Master Algorithm, Domingos has a pretty good opening for a chapter on the Bayesian approach to machine learning.
Data Science Bootcamp – Done
Today I had the opportunity of running a #DataScience bootcamp in London. It was an all-day affair and although the attendees were engaged, I’m sure that by the end of the 6th hour they were… Read More »Data Science Bootcamp – Done
Artificial Intelligence – Debunking Myths
Exploring around the interwebs, I came across this article by Rupert Goodwins in ArsTechnica about debunking myths about Artificial Intelligence. HAL 9000 in the film 2001. It is a good read and it you have a… Read More »Artificial Intelligence – Debunking Myths
Now reading: The Master Algorithm
Now reading “The Master Algorithm” by Pedro Domingos. You can’t control what you don’t understand, and that’s why you need to understand machine learning—as a citizen, a professional, and a human being engaged in the… Read More »Now reading: The Master Algorithm
Cloudera Breakfast Briefing and Tofu Scientists
Last Thursday I attended a Cloudera Breakfast Briefing where Sean Owen was speaking about Spark and the examples were related to building decision trees and random forests. It was a good session in general. Sean started… Read More »Cloudera Breakfast Briefing and Tofu Scientists
Working with data and approaching data-based competitions
Working with data and approaching data-based competitions
You have big data? MIT researchers can help shrinking it!
In a lot of machine learning and data science applications, it is not unusual to use matrices to represent data. It is indeed a very convenient way to keep the information but also to do… Read More »You have big data? MIT researchers can help shrinking it!