Why Indian Freshers Overfit Their Learning Just Like Their Models
The world of AI and data has never been as exciting and overwhelming to enter as it is now. Each week there is a new model to announce, a new technique to learn and a new frenzy to remain relevant. Many freshers in this race fall into a trap, which simulates a classical issue in ML: overfitting. They hoard scribbled notes, memorize words and cram tutorials, but cannot work with a task at hand. Indeed, to most, the chain can be broken only after they adopt a systematic course like a machine learning certification , which brings order to the learning process. Learning Overfitting: What I Learned After Finishing a Machine Learning Certification Many young Indian engineers, it turns out, are being taught machine learning like a poor model acquires noise, by drilling it with heavy exposure with no real comprehension. They are familiar on paper with the formulaes, the metrics, the ideal workings. Practically, the knowledge fails miserably as soon as they are exposed to flawed information...