Data Analysis

In the era of Big Data, data has become an organization’s most valuable asset. However, access to it is often limited by a technical barrier: the need to use query languages like SQL. For years, analysts and engineers have dreamed of a system that would allow them to “talk” to a database in natural language. Text-to-SQL systems aim to realize this vision, but their path has been challenging. Older models, though promising, often failed in real-world scenarios: they were “brittle,” struggled with unseen database schemas, and required costly fine-tuning for each new domain. ...

Imagine you’re analyzing sensor data. Suddenly one sensor shows -999°C. That’s an outlier — a single data point that can completely ruin your analysis. 🧩 What is factorization? Matrix factorization means decomposing data $X$ into two non-negative components: $$ X \approx WH $$ Where $W$ contains “features” and $H$ shows how much of each is needed. 💡 The problem Classical methods like NMF are sensitive to noise and outliers. When data is messy, analysis breaks down. ...