| /* | |
| This example uses Scala. Please see the MLlib documentation for a Java example. | |
| Try running this code in the Spark shell. It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above. | |
| This example is paired with a blog post on LDA in Spark: http://databricks.com/blog | |
| Spark: http://spark.apache.org/ | |
| */ | |
| import scala.collection.mutable |
If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
All stores are Neo4j 2.1.3.
What is related, and how?
Flight ORIGIN Airport
| { | |
| "metadata": { | |
| "name": "Three new matplotlib plots" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
| print(__doc__) | |
| from time import time | |
| import numpy as np | |
| import pylab as pl | |
| from sklearn import metrics | |
| from sklearn.cluster import KMeans | |
| from sklearn.datasets import load_digits | |
| from sklearn.decomposition import PCA |
| bash-3.2$ git show | head | |
| commit d78b48fffff32898a9f76e94923d45a84d7e330e | |
| Author: Paco Nathan <ceteri@gmail.com> | |
| Date: Sat Mar 16 19:11:46 2013 -0700 | |
| fixed cmd line opts to allow for a different label field, for the confusion matrix calculation | |
| diff --git a/README.md b/README.md | |
| index ed10626..2e8996e 100644 | |
| --- a/README.md |