Data Mining
mobi, epub, pdf |eng | 2018-04-09 | Author:Alice Zheng and Amanda Casari

Singular Value Decomposition (SVD) of a Matrix Any rectangular matrix can be decomposed into three matrices of particular shapes and characteristics: X = UΣVT Here, U and V are orthogonal ...
( Category: Data Mining May 20,2019 )
mobi |eng | 2017-08-09 | Author:Josh Patterson and Adam Gibson

Good Initial Learning Rates Ideally, we begin with a large learning rate, and if the learning process diverges, we divide this rate by a factor and try again until the ...
( Category: Data Mining May 20,2019 )
epub |eng | 2017-08-09 | Author:Josh Patterson & Adam Gibson

Understanding the Debug Output During Training During training, we’ll see command-line output such as the following: 21:36:00.358 [main] INFO o.d.o.l.ScoreIterationListener - Score at iteration 0 is 0.5154157920151949 The value at ...
( Category: Data Mining May 20,2019 )
epub |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff & Itay Lieder

model = learn.<some_Estimator>() Then we fit it using our training data: model.fit() We evaluate the model to see how well it does on some given dataset: model.evaluate() Finally, we use ...
( Category: Intelligence & Semantics May 20,2019 )
epub |eng | 2018-12-17 | Author:Stanley Siegel & Chris Williams & Scott Donaldson [Stanley Siegel]

Guarding Against Counterfeit E-Mails and Secure E-Mail Because e-mail protocols are inherently insecure, it may be possible for attackers to generate and send counterfeit e-mails. Counterfeit e-mails may appear to ...
( Category: Hacking May 6,2019 )
epub |eng | 2019-03-11 | Author:Alex Gorelik [Alex Gorelik]

Establishing Trust Once an analyst finds the pertinent data set, the next question becomes whether the data can be trusted. While analysts sometimes have the luxury of access to clean, ...
( Category: Data Mining May 5,2019 )
epub |eng | 2019-03-25 | Author:Salman A. Baset

Smart contract considerations As we mentioned, smart contracts are vital to business interaction between the participants of any blockchain network. As they essentially contain the rules and conditions under which ...
( Category: Cryptography May 5,2019 )
epub, pdf |eng | 2019-02-13 | Author:Arjuna Sky Kok

def fillPosts(self, posts): self.clearTweetsField() for post in posts: label_field = QtWidgets.QLabel(post) self.tweets_layout.addWidget(label_field) The same strategy is used in the two following methods. We clear the bookmark widgets from the bookmarks ...
( Category: Cryptography May 4,2019 )
epub |eng | | Author:Panagiotis Karampelas & Jalal Kawash & Tansel Özyer

Graph Embedding There have been many approaches to learning low-dimensional representations for graphs [4, 24, 29]. Inspired by the recent advancement in language modeling and deep learning [20], a series ...
( Category: Data Mining April 29,2019 )
mobi |eng | 2019-03-21 | Author:Glass, Lauren [Glass, Lauren]

Let’s introduce a new table, user_revenue: An INNER JOIN only returns data where the values in the chosen columns match up exactly in both tables. You choose columns with the ...
( Category: Data Mining April 7,2019 )
epub, pdf |eng | 2015-07-19 | Author:Carl Anderson

Interestingly, recent research found that chartjunk, pictograms, color, and contrast—all of which are prominent in infographics—made charts memorable. You were more likely to remember having seen the chart before. However, ...
( Category: Data Mining April 1,2019 )
azw3 |eng | 2016-04-14 | Author:Harrington, Jan L. [Harrington, Jan L.]

Joins Over All Columns with the Same Name When the primary key and foreign key columns you are joining have the same name and you want to use all matching ...
( Category: Data Mining March 27,2019 )
epub, pdf |eng | 2018-06-13 | Author:Oswald Campesato

CHAPTER 4 WORKING WITH REs IN R This chapter introduces you to REs in R, which are used from a statistical viewpoint to solve tasks for data scientists. Keep in ...
( Category: Data Mining March 15,2019 )
epub, azw3 |eng | 2019-01-31 | Author:Shrey Mehrotra

sales_df.write.json("sales.json") val json_sales_DF = spark.read.json("sales.json") json_sales_DF.createOrReplaceTempView("jsonSales") var ipDF = spark.sql("SELECT ip FROM jsonSales WHERE id BETWEEN 10 AND 19") ipDF.map(attributes => "IPS: " + attributes(0)).show() DataFrame operations and associated functions ...
( Category: Data Mining March 12,2019 )
epub |eng | 2019-01-31 | Author:Rich Collier

In our example of detecting DNS tunneling, we will need to enable the collection of DNS data to see and detect the unusual outbound DNS queries. In general, for data ...
( Category: Data Mining March 11,2019 )