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In-depth courses on web scraping, anti-bot evasion, cybersecurity, and networking, plus learning roadmaps for engineers who value their time. No fluff, just the implementation.
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coursesall topics ->
Web Scraping
67 lessons
A complete web scraping course: HTTP and parsing fundamentals, crawling, browsers, anti-bot engineering, and production-scale data pipelines.
01 HTTP Basics for Scraping02 Understanding HTML Structure03 requests, Sessions & Headers
67 lessons · free
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Cybersecurity
42 lessons
Concepts, attack vectors, and defensive techniques for application and network security.
01 Encryption02 Hashing vs Encoding03 Digital Signatures and PKI
42 lessons · free
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featured roadmapsall 39 roadmaps ->
Web Scraping
15 topics
01 Foundations02 Core Concepts03 Intermediate Skills
4 stages open roadmap ->
Cybersecurity
16 topics
01 Foundations02 Offensive03 Defensive
4 stages open roadmap ->
Frontend Development
40 topics
01 Internet Fundamentals02 HTML Fundamentals03 CSS Styling
8 stages open roadmap ->
Backend Development
38 topics
01 Internet & OS02 Languages03 Relational Databases
8 stages open roadmap ->
Python
116 topics
01 Foundations02 Core Concepts03 Intermediate Skills
29 stages open roadmap ->
Machine Learning & AI
17 topics
01 Mathematics02 Fundamentals03 Deep Learning
4 stages open roadmap ->
latest newsall news ->
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Most unified multimodal models split along a fundamental divide: some treat both language and images as discrete tokens, others pair discrete language prediction with continuous image generation. The token-based approach creates a...
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
The limits of accuracy in clinical multimodal adaptation Multimodal large language models are becoming a fixture in clinical diagnosis, but their training pipelines still treat accuracy as the default objective. In medical data th...
Semifactual Credit-Augmented Policy Optimization
Reinforcement learning with verifiable rewards improved reasoning capabilities of large language models yet predictions stayed sensitive to task-irrelevant prompt features. Researchers investigated this sensitivity through semifac...
latest papersall papers ->
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Most unified multimodal models split along a fundamental divide: some treat both language and images as discrete tokens, others pair discrete language prediction with continuous image generation. The token-based approach creates a...
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
The limits of accuracy in clinical multimodal adaptation Multimodal large language models are becoming a fixture in clinical diagnosis, but their training pipelines still treat accuracy as the default objective. In medical data th...
Semifactual Credit-Augmented Policy Optimization
Reinforcement learning with verifiable rewards improved reasoning capabilities of large language models yet predictions stayed sensitive to task-irrelevant prompt features. Researchers investigated this sensitivity through semifac...