Search Results for "self learning"

Halfrost-Field is a large public “knowledge and blog repository” maintained by a developer who documents a wide variety of computer-science, programming, and machine-learning content — from classic algorithms, ML fundamentals, to system design and broader engineering topics. The repository is structured like a personal technical blog/book: it contains “contents” directories with Markdown-based notes, tutorials and guides. For example, there is a full machine learning course outline (regression, neural networks, SVMs, unsupervised learning, anomaly detection, large-scale ML, even application examples like OCR), that reads like a self-study curriculum. ...

The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2 are also available for download. ...

Heartbleed contains a compact, purpose-built implementation for detecting the infamous Heartbleed vulnerability in OpenSSL’s TLS heartbeat extension (CVE-2014-0160). It focuses on demonstrating and testing the flaw rather than being a general-purpose security toolkit, which makes the code approachable for learning and auditing. The project illustrates how a malformed heartbeat request could coax vulnerable servers into leaking memory contents, including potentially sensitive data. Because it’s small and self-contained, it’s often used as a reference to understand the vulnerability mechanics without wading through large codebases. The repo also serves as a historical snapshot of a watershed moment in modern Internet security and the practical lessons it forced the industry to learn. ...

Not having complete information on courses offered nearby of home may cause that the choice of place for training entails unnecessary journeys due to ignorance of the best offer. This service is focused on providing information about learning offer in the city, been the students the final users. The citizens will be able to find information about a wide calendar of courses, classified by sectors of activity, and will be able to find places and resources for self-learning (Libraries, foundations, schools, e-learning, and technological centres developing learning activities or promoting self-learning resources).