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A Programmer's Guide to Data Mining

A Programmer's Guide to Data Mining
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Academic Ranking of World Universities | ARWU | First World University Ranking | Shanghai Ranking Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. Weka supports deep learning!

java - Monotonic Pair - Codility the museum of science, art and human perception The R Project for Statistical Computing Walking The Beat - Mining Seattle's Police Report Data This week marks the completion of Y Combinator for Bayes Impact! As our Fall 2014 Fellowship ramps up (250+ applicants!), we wanted to do a blog post illustrating how exactly we can use data to understand public services better. Tip 1: before analyzing the data we should understand when the events happened, and if the system that records the data, also known as the data generating mechanism, is biased to a particular period of time. Our natural intuition may want to ask does criminal activity vary according to the day of the week? First we will just check how many Mondays, Tuesdays, etc have data recorded in the dataset: Great! There are lots of different types of crimes here, some that are very similar to each other and some that are very different. Tip 2: We can simplify large categorical variables by binning them into a few major categories We solve this problem by defining a simpler category for crime type which can be "minor", "serious" or "violent".

What’s the “problem” with MOOCs? « EdTechDev In case the quotes didn’t clue you in, this post doesn’t argue against massive open online courses (MOOCs) such as the ones offered by Udacity, Coursera, and edX. I think they are very worthy ventures and will serve to progress our system of higher education. I do however agree with some criticisms of these courses, and that there is room for much more progress. I propose an alternative model for such massive open online learning experiences, or MOOLEs, that focuses on solving “problems,” but first, here’s a sampling of some of the criticisms of MOOCs. Criticisms of MOOCs Khan Academy The organization is unclear and it lacks sufficient learner support.The videos aren’t informed by research and theory on how people learn, and this may diminish the effectiveness of his videos. Are MOOCs a Horseless Carriage? In the book How People Learn (which can be read free online), John Bransford shared the story of Fish is Fish. MOOC or MMORPG? From MOOC to MOOLE Who’s the teacher in a MOOLE?

Lecture 1 - How to Start a Startup This text is annotated! Click on the highlights to read what others are saying. If you'd like to add your own insights, comments, or questions to specific parts of the lecture, visit the lecture page on Genius, highlight the relevant text, and click the button that pops up. Your annotation will appear both here and on Genius. Welcome to CS183B. We've taught a lot of this class at YC and it's all been off the record. I'm only teaching three. All of the advice in this class is geared towards people starting a business where the goal is and eventually building a very large company. Ideas, Products, Teams and Execution Part I So the four areas: You need a great idea, a great product, a great team, and great execution. You may still fail. One of the exciting things about startups is that they are a surprisingly even playing field. Before we jump in on the how, I want to talk about why you should start a startup. The specific passion should come first, and the startup second. Thank you.

8 Books For a Higher Existence Books are magical inventions. By carrying meaning, they gives us glimpses of experience and knowledge from a different world. Phonetic language, being cut-off from time and place, the Now, helps both to encapsulate the ego more, but also to offer guidance to make it poriferous, letting Eros free. Without books we would lose this guidance. If you’re done reading this list and want to level up more – check out part two! Thus Spoke Zarathustra – Friedrich Nietzsche Thus Spoke Zarathustra is Nietzsche’s most prophetic book in which he offers his teachings through the words of Zarathustra, based on the Persian prophet Zoroaster, who, after spending ten years on a mountain in meditation only accompanied by his Eagle and Serpent, comes down to offer his wisdom to the world. Becoming Animal – David Abram Abram’s first book The Spell of the Sensuous convincingly argued that being human is inseparably interconnected with everything that is not human. The Story of B – Daniel Quinn

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