guinaps

6.002x (Circuits and Electronics) is an experimental on-line adaptation of MIT’s first undergraduate analog design course: 6.002. This course will run, free of charge, for students worldwide from March 5, 2012 through June 8, 2012. - guinaps

We implement a series of classifiers (Naive Bayes, Maximum Entropy, and SVM) to distinguish positive and negative sentiment in critic and user reviews. We apply various processing methods, including negation tagging, part-of-speech tagging, and position tagging to achieve maximum accuracy. We test our classifiers on an external dataset to see how well they generalize. Finally, we use a majority-voting technique to combine classifiers and achieve accuracy of close to 90% in 3-fold cross-validation, far outperforming Pang's 2002 work. - guinaps

This course (CS229) -- taught by Professor Andrew Ng -- provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed. - guinaps

Natural Language Processing with Python: free ebook - guinaps

There is one thing I can be sure of: I am going to die. But what am I to make of that fact? This course will examine a number of issues that arise once we begin to reflect on our mortality. The possibility that death may not actually be the end is considered. Are we, in some sense, immortal? Would immortality be desirable? Also a clearer notion of what it is to die is examined. What does it mean to say that a person has died? What kind of fact is that? And, finally, different attitudes to death are evaluated. Is death an evil? How? Why? Is suicide morally permissible? Is it rational? How should the knowledge that I am going to die affect the way I live my life? - guinaps

CSS documentation - guinaps

Kaggle is an arena where you can match your data science skills against a global cadre of experts in statistics, mathematics, and machine learning. - guinaps

This comprehensive primer on the internal operations of WebKit and Gecko is the result of much research done by Israeli developer Tali Garsiel. - guinaps

WebRTC is a free, open project that enables web browsers with Real-Time Communications (RTC) capabilities via simple Javascript APIs. - guinaps

Architects look at thousands of buildings during their training, and study critiques of those buildings written by masters. In contrast, most software developers only ever get to know a handful of large programs well—usually programs they wrote themselves—and never study the great programs of history. As a result, they repeat one another's mistakes rather than building on one another's successes. This book's goal is to change that. - guinaps

PC emulator in JS, FFmpeg, etc etc - guinaps

This collection is a presentation of several small Python programs. They are aimed at intermediate programmers; people who have studied Python and are fairly comfortable with basic recursion and object oriented techniques. Each program is very short, never more than a couple of pages and accompanied with a write-up. - guinaps

I've discovered that there are many 'hashing tricks' in machine learning. Some of these are like the count-min sketch in that they rely on an explicit bloom filter style datastructure. The ones here take a radical conceptual step: they only use one hashing function. This turns out to work out remarkably well when learning, because the learning algorithm can learn to deal with collisions. - guinaps

This is a guide to the LaTeX markup language. It is intended that this can serve as a useful resource for everyone from new users who wish to learn, to old hands who need a quick reference. - guinaps

A machine learning cheat sheet and a good related discussion. - guinaps

Currently the site for the Python-Core mentorship project. The Python Core Mentorship Program is predicated on the idea that Python-Core, and Python as a whole would be served by further lowering the barrier to entry of contribution to Python core. - guinaps