Archives of #Cookbook

Review for Python Text Processing with NLTK 2.0 Cookbook (Packt, 2010)

Python Text Processing with NLTK 2.0 Cookbook (Amazon US, UK) is a cookbook for Python’s Natural Language Processing Toolkit. I’d suggest that this book is seen as a companion for O’Reilly’s Natural Language Processing with Python (available for free at nltk.org). The older O’Reilly book gives a lot of explanation for how to use NLTK’s […]

Packt’s new “Python Text Processing with NLTK 2.0 Cookbook”

I’m rather excited to have received a review copy of Packt’s new NLP book “Python Text Processing with NLTK 2.0 Cookbook“, it is based around Python’s Natural Language Processing toolkit. I’ve been using the O’Reilly book for over a year, I’m curious to see what’s different between the two. I’ll post a full review once […]

Selling ProCasts

Having built ProCasts during 2009 (from ‘just me’ to a fab team of four) and then letting it sit quietly for the first half of this year I’m now selling the site as a lead-generation opportunity for a lucky fellow screencaster. The site continues to generate leads each week – this has lead to some […]

Emily’s new blog

Emily (@fluffyemily) has started a new blog – EmilyToop.com – to note her progress with iPhone app development, robotics and general geekery. Her first post is Objective Flickr on the iPhone, inspired by some of the difficulties she had building her demo app for my Optical Character Recognition web service on the A.I. Cookbook. Ian […]

Talking on Artificial Intelligence next Tuesday at FlashBrighton

I’ve been invited to speak with John Montgomery next Tuesday at FlashBrighton – 7pm at The Werks for 1.5-2 hours or so of demos. We’ll be covering: Head tracking robot (build your own in a few hours!) Skiff Privacy Invasion – what we can learn from data mining the SkiffCam (the Gov’t can do it […]

Headroid1 – a face tracking robot head

The video below introduces Headroid1, this face-tracking robot will grow into a larger system that can follow people’s faces, detect emotions and react to engage with the visitor. The above system uses openCV’s face detection (using the Python bindings and facedetect.py) to figure out whether the face is in the centre of the screen, if […]