yatendra singh’s Post

A simple concept about DATA

Good to Know Data

Big Data, Enhance your worker

It’s all about Data

It's all about data

Unpopular Opinion: The big data era won’t last forever As a stats grad I've worked with numbers for most of my professional life, but the more I analyzed, the more I realized that predicting the future using numbers alone is not enough. There are unpredictable events that today hit with a frequency and resonance never seen before. I think we're heading into a new era where data analytics might not be as big of a deal in business as it is now

Data Drift: The Hidden Challenge Creeping into Your Machine Learning Models One of the sneakiest issues in machine learning is data drift. Imagine this: your model is performing beautifully, giving you the insights you need. But over time, the data it relies on starts to shift. Maybe it’s changes in user behavior, new market trends, or other external factors. Suddenly, that high-performing model isn’t so accurate anymore, and the decline happens gradually, often going unnoticed. Data drift is exactly that: a silent shift in the statistical properties of your input data that can leave you making decisions based on outdated, unreliable predictions. Left unchecked, it can lead to costly mistakes and missed opportunities. So how do you stay ahead of data drift? The key is constant monitoring and timely retraining. Set up automated alerts to catch changes in data distribution early, and schedule regular retraining sessions to keep your models up to date. This way, you’re not just maintaining your models but making sure they’re as relevant and accurate as the day you launched them. How often do you revisit your machine learning models to ensure accuracy? And what strategies do you use to monitor for data drift? #DataDrift #MachineLearning #ArtificialIntelligence #DataEngineering #DataAnalyst #DataScience #Data #BigData #Analytics #BusinessIntelligence #DataMonitoring #MLPipelines

the power of Data

The Power of Data