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Data available in the project's website. Data is also available here. [367] Zampieri et al. Cyber reports from the National Cyber Security Centre This data is not pre-processed. Threat reports, reports and advisory, news, blog-posts, speeches. Alternate list of reports. [368] APT reports by Kaspersky This data is not pre-processed. [369] The ...
In the preface, the authors write about how the book was written to be comprehensive and useful in both teaching and professional environments. Each chapter focuses on an algorithm, and discusses its design techniques and areas of application. Instead of using a specific programming language, the algorithms are written in pseudocode. The ...
Python is used extensively in the information security industry, including in exploit development. [231] [232] Most of the Sugar software for the One Laptop per Child XO, developed at Sugar Labs as of 2008, is written in Python. [233] The Raspberry Pi single-board computer project has adopted Python as its main user-programming language.
Algorithms + Data Structures = Programs [1] is a 1976 book written by Niklaus Wirth covering some of the fundamental topics of system engineering, computer programming, particularly that algorithms and data structures are inherently related. For example, if one has a sorted list one will use a search algorithm optimal for sorted lists.
Market price data is not only used in real-time to make on-the-spot decisions about buying or selling, but historical market data can also be used to project pricing trends and to calculate market risk on portfolios of investments that may be held by an individual or an institutional investor.
Stocks to watch out for as a new investor. Good investing is not all about buying the best stocks. In fact, avoiding specific types of stocks can help you steer clear of investments that have a ...
These virtual stock markets are often based on things like sports or entertainment "stocks". Players are asked to invest in a particular sports team for example. If the team is doing well, the stock goes up and if the team is playing badly the stock value for that team falls. Stock market games are often built into many other prediction games.
Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).