Search results for "data science"
azw3, epub |eng | 2017-03-27 | Author:Shams, Rushdi [Shams, Rushdi]

( Category: Databases & Big Data June 18,2017 )
epub, pdf |eng | 2013-10-14 | Author:Russell Jurney

Note If your atomic records are petabytes, you may not want to publish them all to a document store. Moreover, security constraints may make this impossible. In that case, a ...
( Category: other June 16,2017 )
epub |eng | 2013-10-08 | Author:Rachel Schutt & Cathy O’Neil

So given users’ understandable concerns about privacy, students in Rachel’s class brainstormed some potential solutions that Google could implement (or that anyone dealing with user-level data could consider). Possibilities: You ...
( Category: Computers & Technology June 15,2017 )
epub |eng | 2015-03-09 | Author:Lillian Pierson & Jake Porway

( Category: Data Processing March 2,2017 )
epub |eng | 2016-11-20 | Author:VanderPlas, Jake [VanderPlas, Jake]

In [ 4 ]: for i in range ( 1 , 7 ): plt . subplot ( 2 , 3 , i ) plt . text ( 0.5 , 0.5 ...
( Category: Research November 25,2016 )
epub, azw3, mobi, pdf |eng | 2016-03-11 | Author:LazyProgrammer [Unknown]

I create a train function similar to the simple example above: train = theano.function( inputs=[thX, thT], updates=[(W1, update_W1),(W2, update_W2)], ) And I create a prediction function to tell me the ...
( Category: other July 1,2016 )
epub, pdf |eng | 2016-05-15 | Author:LazyProgrammer [Unknown]

So in Theano, our first filter has the dimensions “num_feature_maps”, which you can think of as the number of kernels or filters we are going to create, then it has ...
( Category: other July 1,2016 )
epub |eng | 2016-05-17 | Author:LazyProgrammer [Unknown]

If you haven’t installed NLTK already, you can just do “sudo pip install nltk” in your command line. Note that for some of these examples, NLTK might give you a ...
( Category: other July 1,2016 )
epub |eng | 2016-05-22 | Author:LazyProgrammer [Unknown]

N = 900 # number of samples X = np.zeros((N, D)) X[:300, :] = np.random.randn(300, D) + mu1 X[300:600, :] = np.random.randn(300, D) + mu2 X[600:, :] = np.random.randn(300, D) ...
( Category: other July 1,2016 )
epub |eng | 2015-10-16 | Author:Antonio Gulli [Gulli, Antonio]

# Load documents (one per line). documents = sc.textFile("...").map(lambda line: line.split(" ")) #hash the terms and compute the TF on documents hashingTF = HashingTF() tf = hashingTF.transform(documents) # force the ...
( Category: Computers & Technology June 30,2016 )
epub, azw3, pdf |eng | 2016-03-18 | Author:LazyProgrammer [Unknown]

With deep learning and neural networks, we typically use (0, 1). Although the visualizations used in this section were necessarily in 2 dimensions, note that all the techniques used do ...
( Category: other May 10,2016 )
azw3, epub |eng | 2016-03-16 | Author:LazyProgrammer

Check if it’s been updated correctly (you can hit up to use the previous command). Delete Now let’s say we want to get rid of this new row. The general ...
( Category: Computers & Technology April 21,2016 )
epub, azw3, mobi, pdf |eng | 2016-03-19 | Author:George Duckett [Duckett, George]

( Category: Computers & Technology April 14,2016 )
azw3 |eng | 2016-03-25 | Author:Code Well Academy

// INPUT: - a Book // OUTPUT: - none // EFFECT: ????? void bookTemplateFunc(Book b) { b.AUTHOR //do something b.TITLE // do something b.PAGECOUNT // do something } Here’s an ...
( Category: Computers & Technology April 14,2016 )
mobi |eng | 2016-03-25 | Author:Code Well Academy

Methods: Functions for Object-Oriented Programming In Object-oriented programming, data and procedures are bundled in data structures called classes. Functions are called Methods and class variables are called Fields. You can ...
( Category: Computers & Technology April 14,2016 )