Understanding the Three Vs of Big Data
A fundamental concept to understand the challenges and opportunities of big data is the 3 Vs of big data: Volume, Velocity, and Variety.
9 min read
All Posts
Engineering the future: AI, systems, and business insights
AI · machine learning · xgboost
A Comprehensive Guide to Hyperparameter Tuning in XGBoost
Maximize XGBoost model performance with hyperparameter tuning guide. Learn key parameters, effective strategies & best practices.
12 min read
AI · system design
Why AI System Design Demands a New Engineering Mindset
AI engineering requires a shift from deterministic logic to data-driven inference. Explore the mindset and tools needed for modern AI development.
7 min read
AI · machine learning
How Different AI Learning Methods Drive Real-World Solutions
Explore AI from supervised to reinforcement learning in this guide connecting theory to real-world use—ideal for AI builders and tech-curious readers alike.
8 min read
AI · machine learning
The Pillars of Progress: A Guide to AI's Evolutionary Stages
Unlock the complexities of AI. This guide explains Traditional AI, GenAI, AGI, & ASI, showing Artificial Intelligence is far more than generative models.
8 min read
devops · system design · software architecture
How Distributed Systems Manage Workloads
Learn how scheduling works in distributed systems, from priority queues to workload management, ensuring efficient task execution at scale.
14 min read
AI · system design · software architecture
Beyond One Model: How AGI Will Actually Work
True artificial general intelligence won’t be one model but a system of intelligent components. Learn why system design is the key to AGI.
10 min read