Posted on June 19, 2023 by admin
Machine learning (ML), an essential subset of artificial intelligence, promises a new frontier of technological innovation. However, as we explore its potential, we uncover various challenges that need to be addressed. These range from data-related issues, model transparency, generalization, privacy and security to real-time learning. Understanding these obstacles is a fundamental part of the learning process for students diving into the field. Here, we explore these challenges in detail and potential strategies to tackle them. Data Quality and Quantity Machine learning models thrive on data. They need to learn patterns from various scenarios to make accurate predictions. However, accessing a