PythonBooks - Learn Python the easy way ! The Complete Guide to Not Giving a Fuck Ok, I have a confession to make. I have spent almost my whole life– 31 years–  caring far too much about offending people, worrying if I’m cool enough for them, or asking myself if they are judging me. I can’t take it anymore. It’s stupid, and it’s not good for my well being. It has made me a punching bag–  a flighty, nervous wuss. But worse than that, it has made me someone who doesn’t take a stand for anything. Today, ladies and gentlemen, is different. We’re going to talk about the cure. Do you wonder if someone is talking shit about you? Well, it’s time you started not giving a fuck. FACT NUMBER 1. Yes, it’s really happening right at this moment. What people truly respect is when you draw the line and say “you will go no further.” Right. Regular people are fine– you don’t actually hear it when they’re talking behind your back. Thankfully, that’s not actually true. FACT NUMBER 2. This stuff is crazy, I know, but it’s cool, you’ll get used to it. FACT NUMBER 3. FACT NUMBER 4.
PyML - machine learning in Python — PyML v0.7.3 documentation EdupunksGuide Milk: Machine Learning Toolkit for Python This is the code that I use for my research projects. Where can I get it? Github as usual. Alternatively the python packages index also contains official releases,the latest of which can be obtained by: easy_install milk or: pip install milk if you use these tools. Examples Here is how to test how well you can classify some features,labels data, measured by cross-validation: import numpy as np import milk features = np.random.rand(100,10) # 2d array of features: 100 examples of 10 features each labels = np.zeros(100) features[50:] += .5 labels[50:] = 1 confusion_matrix, names = milk.nfoldcrossvalidation(features, labels) print 'Accuracy:', confusion_matrix.trace()/float(confusion_matrix.sum()) If want to use a classifier, you instanciate a learner object and call its train() method: Features Pythonic interface to libSVM. Article filed in categories: Software Work Python
The Home Gunsmith Machine Learning in Python Has Never Been Easier! At BigML we believe that over the next few years automated, data-driven decisions and data-driven applications are going to change the world. In fact, we think it will be the biggest shift in business efficiency since the dawn of the office calculator, when individuals had “Computer” listed as the title on their business card. We want to help people rapidly and easily create predictive models using their datasets, no matter what size they are. Thus, we are very happy to announce an open source Python binding to BigML.io, the BigML REST API. The BigML Python module makes it extremely easy to programmatically manage BigML sources, datasets, models and predictions. Just like magic! We have tried to build a very simple binding just wrapping all the HTTP requests and responses to BigML.io within one class. Getting back to the example above, imagine all the steps you would need in order to create a predictive model using another ML or statistical package. Like this: Like Loading...
Develop Perfect Memory With the Memory Palace Technique The Memory Palace is one of the most powerful memory techniques I know. It’s not only effective, but also fun to use — and not hard to learn at all. The Memory Palace has been used since ancient Rome, and is responsible for some quite incredible memory feats. Eight-time world memory champion Dominic O’Brien, for instance, was able to memorize 54 decks of cards in sequence (that’s 2808 cards), viewing each card only once. And there are countless other similar achievements attributed to people using the Memory Palace technique or variations of it. Even in fiction, there are several references to the technique. Of course, most of us are not in Dominic’s memory championship line of business (or in Hannibal’s line of business for that matter). The Memory Palace The Memory Palace technique is based on the fact that we’re extremely good at remembering places we know. 5 Steps to Use the Memory Palace Technique 1. First and foremost, you’ll need to pick a place that you’re very familiar with. 2.
Explore Python, machine learning, and the NLTK library The challenge: Use machine learning to categorize RSS feeds I was recently given the assignment to create an RSS feed categorization subsystem for a client. The goal was to read dozens or even hundreds of RSS feeds and automatically categorize their many articles into one of dozens of predefined subject areas. The content, navigation, and search functionality of the client website would be driven by the results of this daily automated feed retrieval and categorization. The client suggested using machine learning, perhaps with Apache Mahout and Hadoop, as she had recently read articles about those technologies. Her development team and ours, however, are fluent in Ruby rather than Java™ technology. What is machine learning? My first question was, "what exactly is machine learning?" Classification. The Mahout and Ruby detours Armed with an understanding of what machine learning is, the next step was to determine how to implement it. Finding Python and the NLTK Back to top pip Running programs
Harsh's Worksheet (WIP) - /fit/ Wiki Introduction "Oh god 50000 words I just want abs I didn't want to major in literature where are the Cliffs" shut up, this IS the cliffs. Read it. If you only want to look at a specific section, display the Content right above this part, otherwise, proceed from top to bottom, just like your dad did when he beat you up for eating all of the candy you worthless little "JESUS I'M A WOMAN STOP BEING MEAN" oh I'm sorry I didn't know. Two things should be clear: Persistence. What can we achieve? Muscle development and maintenance. Generally somewhat less sought after things: Cardiovascular health. Diet The main components of correct dieting are: calorie counting, higher protein and vegetable intake, the correct amount of calories, and eating less processed food. Energy from a diet comes either from macronutrients (carbs, fat and protein) and essential micronutrients (various vitamins, minerals, water, amino acids, and certain lipids). You must start tracking your intake Eat more protein Maintaining: