Computers & Technology
azw3 |eng | 2017-09-07 | Author:Aurobindo Sarkar [Sarkar, Aurobindo]

( Category: Databases & Big Data January 15,2018 )
azw3 |eng | 2016-06-23 | Author:Prateek Joshi [Joshi, Prateek]

If you want to split these punctuations into separate tokens, then we need to use WordPunct Tokenizer:# Create a new WordPunct tokenizer from nltk.tokenize import WordPunctTokenizer word_punct_tokenizer = WordPunctTokenizer() print ...
( Category: Programming Languages January 15,2018 )
azw3 |eng | 2016-07-29 | Author:Combs, Alexander [Combs, Alexander]

3 0 .1761 0 0 0 .4471 Why do all of this? To obtain a high tf-idf value, a term would need to have a high number of occurrences in ...
( Category: Programming January 15,2018 )
azw3 |eng | 2015-11-27 | Author:Justin Bozonier [Bozonier, Justin]

This test fails! Now, think about how you plan to get the test to pass. Since we need to handle multiple observations, let's refactor to store our, so far, single ...
( Category: Computers & Technology January 15,2018 )
azw3 |eng | 2015-11-27 | Author:Bozonier, Justin [Bozonier, Justin]

This test fails! Now, think about how you plan to get the test to pass. Since we need to handle multiple observations, let's refactor to store our, so far, single ...
( Category: Computers & Technology January 15,2018 )
azw3 |eng | 2017-10-23 | Author:AshishSingh Bhatia & (David Chiu), Yu-Wei, Chiu [Bhatia, AshishSingh]

( Category: Databases & Big Data January 15,2018 )
epub |eng | 2014-05-19 | Author:Schwartz, H. M.

4.10 Policy Hill Climbing Policy hill climbing (PHC) is a simple practical algorithm that can play mixed strategies. This algorithm was first proposed by Bowling and Veloso (2002). The PHC ...
( Category: Mathematics January 15,2018 )
azw3 |eng | 2017-10-23 | Author:Bhatia, AshishSingh & (David Chiu), Yu-Wei, Chiu [Bhatia, AshishSingh]

( Category: Databases & Big Data January 15,2018 )
epub |eng | 2017-07-21 | Author:Pratap Dangeti

KNN classifier with breast cancer Wisconsin data example Breast cancer data has been utilized from the UCI machine learning repository http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 for illustration purposes. Here the task is to find ...
( Category: Databases & Big Data January 15,2018 )
azw3 |eng | 2017-04-24 | Author:Giancarlo Zaccone & Md. Rezaul Karim & Ahmed Menshawy [Zaccone, Giancarlo]

def loss(pred, label): cross_entropy_loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=pred, labels=label)) tf.summary.scalar('Entropy', cross_entropy_loss) reg_losses = tf.add_n(tf.get_collection("losses")) tf.scalar_summary('Reg_loss', reg_losses) return cross_entropy_loss + REGULARIZATION * reg_losses def train(loss, step): return tf.train.AdamOptimizer(LEARNING_RATE). minimize(loss, global_step=step) def get_next_batch(images, labels, ...
( Category: Databases & Big Data January 15,2018 )
azw3 |eng | 2017-08-28 | Author:Ciaburro, Giuseppe [Ciaburro, Giuseppe]

Figure 5.5: Graphic description of the tree Figure 5.5 gives us useful information on the classification of the three floral species immediately. In most cases, the building of the decision ...
( Category: Computer Science January 15,2018 )
azw3 |eng | 2017-09-22 | Author:Siamak Amirghodsi & Meenakshi Rajendran & Broderick Hall & Shuen Mei [Amirghodsi, Siamak]

( Category: Computers & Technology January 15,2018 )
azw3 |eng | 2017-03-23 | Author:Dr. Param Jeet & Prashant Vats [Jeet, Dr. Param]

Figure 5.4: Normalized price series, difference, and trading signals The upper (ub) and lower bounds (lb) of the difference series can be calculated by adding and subtracting n times standard ...
( Category: Databases & Big Data January 15,2018 )
azw3 |eng | 2017-10-23 | Author:Leif Larsen [Larsen, Leif]

InverseTextNormalizationResult This displays phrases such as one two three four as 1234, so it is ideal for usages such as go to second street. MaskedInverseTextNormalizationResult Inverse text normalization and profanity ...
( Category: Computer Science January 15,2018 )
azw3, mobi, epub |eng | 2015-04-07 | Author:Nielsen, Lars [Nielsen, Lars]

5 Artificial Intelligence, Machine Learning, and Deep Learning in Data Science “You can use all the quantitative data you can get, but you still have to distrust it and use ...
( Category: Databases & Big Data January 15,2018 )