Databases & Big Data
epub, mobi, pdf |eng | 2017-08-17 | Author:Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow

import numpy as np pred = np.array([0, 1, 0, 0, 1, 1, 1, 0, 1, 1]) You can check how well you’ve done by comparing it to a vector of ...
( Category: Data Processing May 19,2019 )
epub |eng | | Author:By Joshua Greene & By Jay Strawn

What should you be careful about? There is a protocol named IteratorProtocol, which allows you to customize how your object is iterated. You simply implement a next() method that returns ...
( Category: Data Modeling & Design May 19,2019 )
epub |eng | | Author:By René Cacheaux & By René Cacheaux & Josh Berlin & By Josh Berlin & René Cacheaux

Going through the steps one by one: PickMeUpViewController injects its PickMeUpViewModel into DropoffLocationPickerViewController. DropoffLocationPickerViewController creates a DropoffLocationPickerContentRootView with the PickMeUpViewModel. DropoffLocationPickerContentRootView tells its DropoffLocationPickerViewModel when the user selects a new ...
( Category: Information Theory May 19,2019 )
azw3, epub |eng | 2019-03-29 | Author:Francisco Juretig

( Category: Data Processing May 10,2019 )
epub |eng | 2019-03-29 | Author:Rudy Lai

Testing our custom RDD Let's start this test to check if this has created our RDD. By doing this, we can extend our parent RDD and add behavior to our ...
( Category: Intelligence & Semantics May 6,2019 )
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 | 2019-03-15 | Author:Will Button

Then we're going to use async and await to get the deployed version of our contract from the Ethereum network. So, let me break a async and await down for ...
( Category: Encryption 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 |eng | 2019-03-29 | Author:Yoon Hyup Hwang

User-based collaborative filtering and recommendations In order to build a user-based collaborative filtering algorithm, we need to compute cosine similarities between users. Let's take a look at the following code: ...
( Category: Intelligence & Semantics May 4,2019 )
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, pdf |eng | 2019-11-24 | Author:Aileen Nielsen [Aileen Nielsen]

Scatter plots The traditional method of using scatter plots is just as useful for time series data as it is for other kinds of data. We can use scatter plots ...
( Category: Machine Theory May 3,2019 )
epub | | | Author:Machine Learning in Python

Our tree has an accuracy of 0.838 on the training set. But remember that this is not a good indicator. This is especially true for decision trees as this method ...
( Category: Machine Theory May 3,2019 )
epub |eng | 2019-03-29 | Author:Krish Naik

portfolio_returns=[] portfolio_volatilities=[] for x in range(1000): weights=np.random.random(num_assets) weights/=np.sum(weights) portfolio_returns.append(np.sum(weights*log_returns.mean())*250) portfolio_volatilities.append(np.sqrt(np.dot(weights.T,np.dot(log_returns.cov(),weights)))) portfolio_returns,portfolio_volatilities The output generated is shown in the following screenshot: In the loop, we are generating two weights, whose sums ...
( Category: Data Modeling & Design May 3,2019 )
epub |eng | 2019-02-26 | Author:Fabian Hueske

Implementing Operator List State with the ListCheckpointed Interface Operator state is managed per parallel instance of an operator. All events that are processed in the same parallel task of an ...
( Category: Electronic Data Interchange (EDI) May 2,2019 )