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. ...

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. ...