This guide is intended to provide technical guidance to design, configure and operate the Profiling feature in the Cisco Identity Services Engine (ISE). The document provides best practice configurations for a typical environment.

Data To Fish was born in an effort to facilitate the application of data science using various tools such as Python, R, Julia and SQL.

We are passionate about data, and strive to provide you the most up-to-date and accurate information about common data-related problems.

The content provided on this website is constantly reviewed. Yet, if you do come across any errors in the content, please feel free to reach us at datatofish@gmail.com. Please note that due to the high volume of requests, we can no longer accommodate personal requests of code reviews. Please also refrain from including any email attachments.

Malpedia is a free service offered by Fraunhofer FKIE.
Administration is lead by Daniel Plohmann and Steffen Enders.

Mission Statement
The primary goal of Malpedia is to provide a resource for rapid identification and actionable context when investigating malware. Openness to curated contributions shall ensure an accountable level of quality in order to foster meaningful and reproducible research.
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More specifically, you will need an account to access all data (malware samples, non-public YARA rules, ...).
In this regard, Malpedia is operated as an invite-only trust group.

Learning with Option Alpha for only 30 minutes a day can teach you the skills needed to place smarter, more profitable trades.

Industrial design and fashion come together in our pocket-sized essentials. Made in Holland with great care for quality, people and the environment. A better world starts in your pocket.

Wolfram hat zwei neue Mitbewohner: Ork Ogrosch und Elfe Reena. Eben noch online, jetzt in der WG.

A big part of machine learning is classification — we want to know what class (a.k.a. group) an observation belongs to. The ability to precisely classify observations is extremely valuable for various business applications like predicting whether a particular user will buy a product or forecasting whether a given loan will default or not.

LookingGlass delivers the most comprehensive threat intelligence-driven solutions in the market enabling security teams to efficiently and effectively address threats throughout the cyber threat lifecycle.

With a scalable solutions portfolio of threat data feeds, a threat intelligence management platform, threat mitigation solutions, and threat intelligence services, LookingGlass enables security teams to prevent, detect, understand, and respond to analyzed, prioritized, relevant threats.Additionally, with a deep knowledge of the global Internet topology and near real time activity, LookingGlass helps organizations understand threats inside and outside their perimeter - including threats that may be impacting third party trusted partners, other organizations in their industry, and the latest threat trends impacting the global Internet at large.

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