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Raspberry PI 3: 2016 User Guide (Raspberry Pi, Python, Raspberry Pi 2, Perl, Programming, Raspberry Pi 3, Ruby)
epub |eng | 2016-07-18 | Author:Unknown

Trick #6: Programming Raspberry PI 3 is also a key factor in helping beginners, even the children, learn more about the field of programming. They can use the Raspberry PI ...
( Category: Single Board Computers February 26,2017 )
Python: Practical Python Programming For Beginners and Experts (Beginner Guide) by Jonathan Yates
epub, pdf |eng | 2016-07-06 | Author:Jonathan Yates [Yates, Jonathan]

Basic lists operations Like Python strings, we can use + and * operators on lists for operations like concatenation and repetition respectively. Below are the list operations on Python lists. ...
( Category: Introductory & Beginning February 26,2017 )
Scientific Computing with Python 3 by unknow
mobi |eng | | Author:unknow

Access to variables defined outside the local namespace Python allows functions to access variables defined in any of its enclosing program units. These are called global variables, in contrast to ...
( Category: other February 25,2017 )
Introduction to Computation and Programming Using Python: With Application to Understanding Data (MIT Press) by John V. Guttag
mobi, azw3, epub |eng | 2016-08-07 | Author:John V. Guttag

A rooted binary tree is an acyclic directed graph in which There is exactly one node with no parents. This is called the root. Each non-root node has exactly one ...
( Category: Python February 10,2017 )
Mastering Python Data Analysis by Magnus Vilhelm Persson
epub |eng | | Author:Magnus Vilhelm Persson

As for the final analysis, two different clusters are identified. Just as our previous hypothesis, there is a cluster with a clear linear trend with relatively higher GDP, which is ...
( Category: Data Processing January 21,2017 )
Text Analytics with Python by Dipanjan Sarkar
epub, pdf, azw3 |eng | | Author:Dipanjan Sarkar

def tfidf_transformer(bow_matrix): transformer = TfidfTransformer(norm='l2', smooth_idf=True, use_idf=True) tfidf_matrix = transformer.fit_transform(bow_matrix) return transformer, tfidf_matrix You can see that we have used the L2 norm option in the parameters and also made ...
( Category: Python January 9,2017 )
Python Data Science Handbook: Essential Tools for Working with Data by VanderPlas Jake
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 )
Mastering Social Media Mining with Python by Marco Bonzanini
epub |eng | | Author:Marco Bonzanini

Visualizing posts as a word cloud After analyzing interactions, we move our attention back to the content of the posts. Word clouds, also called tag clouds (https://en.wikipedia.org/wiki/Tag_cloud), are visual representations ...
( Category: Python September 21,2016 )
OpenCV with Python Blueprints by unknow
epub |eng | | Author:unknow

Traditional models might try to associate particular features with each target (much like our feature matching approach in Chapter 3, Finding Objects via Feature Matching and Perspective Transforms), which would ...
( Category: other August 19,2016 )
Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python) by LazyProgrammer
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 )
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python) by LazyProgrammer
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 )
Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning (Machine Learning in Python) by LazyProgrammer
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 )
Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis by LazyProgrammer
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 )
A collection of Data Science Interview Questions Solved in Python and Spark: BigData and Machine Learning in Python and Spark (A Collection of Programming Interview Questions Book 6) by Antonio Gulli
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 )
Conan and the Treasure of Python by John Maddox Roberts
epub, mobi |eng | 0101-01-01 | Author:John Maddox Roberts [Unknown]

'It does not look very far,' said Malia wistfully. 'After all, we can see the Horns from here.' 'Don't be deceived,' said Conan. 'From this high up, we can see ...
( Category: other June 15,2016 )

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