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