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2 days ago
Strata 2012 Big Data Conference
First day at the strata conference in Santa Clara California
GeorgeyPorgey2 • 62 views
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2 days ago
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2 days ago
Strata 2012: Steve Schoettler, "Learning Analytics"
Strata 2012: Steve Schoettler, "Learning Analytics"
OreillyMedia • 1,032 views
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2 days ago
Strata 2012: Dave Campbell, "Do We Have The Tools We Need To Navigate The New World Of Data?"
Strata 2012: Dave Campbell, "Do We Have The Tools We Need To Navigate The New World Of Data?"
OreillyMedia • 271 views
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2 days ago
Strata 2012: Ben Goldacre "The Information Architecture of Medicine is Broken"
Strata 2012: Ben Goldacre "The Information Architecture of Medicine is Broken"
OreillyMedia • 1,195 views
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1 week ago
The Times of India Chennai ad TVC Wake up to the TOI.avi
TOI comes out with a nice ad for its Chennai edition. It takes head on with The Hindu. In fact, one of the scene shows a character with The Hindu i...
maxixlri • 85,033 views
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1 month ago
Calculus: Derivatives 1 (new HD version)
Calculus-Derivative: Understanding that the derivative is just the slope of a curve at a point (or the slope of the tangent line)
khanacademy • 294,274 views
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1 month ago
Origami Proof of the Pythagorean Theorem
Leave your homework in the comments. Extra points for clarity and conciseness!
Special thanks to my peeps at NYU where the idea for this video pop...
Vihart • 481,080 views
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1 month ago
DIY: iPad Holder from a DVD case
Make iPad holder in 100 seconds!
chauppiLu • 31,186 views
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1 month ago
R Statistical: Accessing Columns and Rows
Learn how to select a column, a row, or an individual data points in R.
jwaxman74 • 425 views
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1 month ago
R Statistical: KMeans Clustering Part 1 of 2
Unsupervised learning is a data mining technique that generates clusters of datapoints that share some similarities. In the real world application...
jwaxman74 • 5,080 views
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1 month ago
R Statistical: Kmeans Clustering part 2 of 2
In part 1 we set up a fictitious dataset. In this part 2 we used kmeans to come up with 3 clusters from the data. We then compare what it came up...
jwaxman74 • 2,159 views
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1 month ago
Tamil Kolaveri HD (Jaffna Version)
The Manager : Yarlmusic: ++94 71 8561392
E-Mail [Label: ymuzic@live.com], [SJ Stalin: s.j.stalin@gmail.com]
Web : http://www.yarlmusic.com
Lyrics...
yarlmusic • 321,634 views
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1 month ago
17 Ways Rich People and Poor People Think Differently
17 Ways Rich People and Poor People Think Differently
phillywholesalers.com, homeswebuy.com,
jaredj78 • 136,565 views
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2 months ago
Statistical Aspects of Data Mining (Stats 202) Day 2
Google Tech Talks
June 29, 2007
ABSTRACT
This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will fol...
GoogleTechTalks • 24,926 views
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2 months ago
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2 months ago
Example of why the R function apply() is hard to grok and how to use plyr instead
New R users tend to struggle with the apply() family of functions. This video illustrates why the struggle and how the plyr package can help.
cerebralmastication • 2,582 views
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2 months ago
F distribution, Test of difference between the means of three normal populations
Amir H. Ghaseminejad, explains how we can judge if the means of three normal populations have changed as a result of treatments. By taking samples ...
aghasemi4u • 5,512 views
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2 months ago
Maximum Likelihood and Maximum Log Likelihood by Aditya Mittal
Introductory Tutorial on Maximum Likelihood and Maximum Log Likelihood by Aditya Mittal
fierce10 • 3,361 views
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2 months ago
Statistical Aspects of Data Mining (Stats 202) Day 1
Google Tech Talks
June 26, 2007
ABSTRACT
This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will fol...
GoogleTechTalks • 71,101 views
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2 months ago
Data Mining, Data Sampling - Session 10
In this session, Jennifer Thompson, M.S., will discuss sampling. She will talk about splitting data into train test and validations samples as well...
StatSoft • 3,060 views
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2 months ago
Data Mining, Random Forest Tools - Session 20
Session 20 of the Data mining series covers the Random Forest tool. Random Forest build a series of classification trees, each of which is able to...
StatSoft • 4,736 views
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2 months ago
Google I/O 2008 - Painless Python Part 1 of 2
Painless Python for Proficient Programmers
Alex Martelli (Google)
Python is a popular very-high-level programming language, with a clean and spare...
GoogleDevelopers • 68,544 views
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2 months ago
lynda.com Tutorial | Python 3 Essential Training—Creating sequences with generator functions
Watch the entire course at http://www.lynda.com/home/D......
lyndapodcast • 433 views
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2 months ago
Planning a Deployment
Topics include: service layout, NFS strategy, High Availability, and sample architecture.
MapRAcademy • 2 views
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2 months ago
Why Hadoop?
An introduction to Hadoop and a discussion of the problems MapReduce solves, and what must be done to solve these problems well.
MapRAcademy • 851 views
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2 months ago
Hadoop 101
Introduction to the concepts of Hadoop and MapReduce, including a discussion of the Word Count example, and what kinds of tasks are suited to paral...
MapRAcademy • 1,413 views
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2 months ago
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2 months ago
pandas lightning talk SciPy 2011
Short talk about new features in pandas, a Python library for data analysis: http://pandas.sourceforge.net
wesmckinn • 234 views
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2 months ago
Statistics with NumPy
Travis Oliphant, primary developer of NumPy, shows how to use the open-source Python package to perform simple statistical analysis. This example b...
EnthoughtMedia • 5,315 views
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2 months ago
lynda.com Tutorial | Python 3 Essential Training—Repeating code with a loop
Watch the entire course at http://www.lynda.com/home/D......
lyndapodcast • 393 views
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2 months ago
lynda.com Tutorial | Python 3 Essential Training-Selecting code with conditionals
Watch the entire course at http://www.lynda.com/home/D......
lyndapodcast • 196 views
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2 months ago
lynda.com Tutorial | Python 3 Essential Training—Getting started with "Hello, World"
Watch the entire course at http://www.lynda.com/home/D......
lyndapodcast • 651 views
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2 months ago
Python Programming for absolute beginners - 1 (1 of 2)
Go ahead and expand this.
First off, here is the link to python 3.0
http://www.python.org/ftp/p...
I'm losing my internet...
subfuzion • 26,639 views
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2 months ago
Virtual interview - based on Google interviews
Virtual interview to test your readiness.
vinterview • 33,491 views
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2 months ago
How to Get a Job at Google
Always wanted to work at Google? Steven Levy shares what Google looks for in candidates in his book, IN THE PLEX.
Get more on Steven Levy at Si...
SimonSchusterVideos • 33,556 views
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2 months ago
Cracking the Coding Interview (Video Preview)
Cracking the Technical Interview (Video) is one-hour long video to show you what a Google/Microsoft-style interview is like, and what you should an...
careercup • 80,197 views
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2 months ago
Python/Pygame Tutorial pt 1
The beginning of our Python/Pygame tutorial, we go over places you can find help if you run into any problems.
ludusmagnustutorials • 2,172 views
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2 months ago
Game Programming Tutorial 6 in Python: Collision detection and resolution
We implement collision detection on our agents from tutorial 5, so they never overlap. Total of 10 lines of code :) In process we will get more fam...
phyces • 6,943 views
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2 months ago
Game Programming Tutorial 5 in Python: Classes
We work on top of Tutorial 4 and implement multiple characters. We can select any one of them and command them around the screen just like in Tutor...
phyces • 4,529 views
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2 months ago
Game Programming Tutorial 4 in Python: Control with mouse
We implement a program in which we can send a character around the screen by clicking on different positions. In process of doing so, we will learn...
phyces • 4,278 views
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2 months ago
Game Programming Tutorial 3 in Python: Adding colors
We build on Tutorial 2. We implement functionality to change the drawing color and have some fun with rainbow drawing.
In process we learn how to ...
phyces • 7,137 views
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2 months ago
Machine Learning Lecture 3: working with text + nearest neighbor classification
We continue our work with sentiment analysis from Lecture 2. I go over common ways of preprocessing text in Machine Learning: n-grams, stemming, st...
MLexplained • 2,058 views
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commented:
Andrej does an _excellent_ job of motivating us as to why log(x) would be better. I have not come across a better explanation of why log works as a "squasher" function.
Wish he'd make more videos!
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2 months ago
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2 months ago
Machine Learning Lecture 3: working with text + nearest neighbor classification
We continue our work with sentiment analysis from Lecture 2. I go over common ways of preprocessing text in Machine Learning: n-grams, stemming, st...
MLexplained • 2,058 views
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2 months ago
Tips for using the IPython command shell
some tips for using ipython. for higher quality video, go to http://www.isukatmath.com.
iSukAtMath • 6,026 views
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2 months ago
Git Introduction Part One
For better quality video and more detail please visit www.dkwebstudio.com
Install git
sudo apt-get install git-core git-doc gitweb git-gui gitk git...
dkwebstudio • 888 views
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2 months ago
How to use Git - Git Video Tutorial - Part 1 (add, commit, push, pull, status)
Part 1
Commands:
git add
git commit
git push
git pull
git status
If you'd like to add colors to your status messages use:
git config color.ui tr...
thejacenxpress • 6,727 views
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3 months ago
Hack Emacs - Working with Windows and Frames
Understanding and working with windows and frames in GNU Emacs.
rpdillon • 7,795 views
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3 months ago
Why this kolaveri di ( Female Version ) - cover by Gigdad
http://www.facebook.com/GigDad
Hi Everyone, :-)
Thanks for your valuable comments. We definitely got your point that we couldn't do the accent pro...
gigdadmusic • 7,538,624 views
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Succinct and excellent introduction. Covers both Hadoop and MapReduce in 5 minutes. I highly recommend this video, so those who want to know what Hadoop is.