Machine Learning at Scale: Why PySpark MLlib Still Wins in 2025
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Kevin Ku on Unsplash Machine learning may be glamorous when you’re tuning models on Kaggle datasets or demoing GPT wrappers. But in production? It’s a grind. You’re not just building a model. …
How to Build Bulletproof Data Pipelines with PySpark That Actually Scale
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Claudio Schwarz on Unsplash We’re past the era when a CSV, a Pandas DataFrame, and a single machine could handle everything you threw at them. Data is heavier now. It arrives fast, …
Autonomous Horizons: How AI is Steering the Next Generation of Transportation
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Gabriele Malaspina on Unsplash Artificial intelligence (AI) has advanced from a theoretical concept to a revolutionary force in a variety of industries, with the automobile sector at the vanguard. AI is transforming …
The Silent Backbone: Why Traditional Machine Learning Still Matters in the AI Era
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Andrea De Santis on Unsplash In a world increasingly enamored by the shimmering promise of generative AI, it’s easy to forget the models that quietly power much of the technology we rely …
The Rise of Intelligent Enterprises: AI at the Heart of Business Strategy
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Steve Johnson on Unsplash In today’s rapidly evolving digital economy, the difference between a thriving business and one that falls behind often lies in the quality and speed of decision-making. Traditionally, business …
AI-Powered Digital Twins: The Future of Intelligent Systems and Real-World Optimization
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Andy Kelly on Unsplash Imagine a city where traffic congestion is eliminated before it even starts, thanks to an AI-powered Digital Twin that predicts and mitigates bottlenecks in real time. Or consider …
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