The Importance of Data Quality for Machine Learning: How Bad Data Kills Projects
Despite fears of AI taking over the world, at its core, AI is still reactionary and doesn’t truly learn on its own. It can only make predictions based on the data it’s given. That is why data quality for machine...
The Challenges of Text, Audio, Photo, and Video Data Collection for ML Training Models
The basis of all machine learning projects is data collection and acquisition. But that is also the first stumbling block where many ML projects fail. In this article, we will discuss the challenges of text, audio, photo, and video data...
What is Data Classification in Machine Learning?
Data classification is a fundamental concept in machine learning without which most ML models simply couldn’t function. Many real-world applications of AI have data classification at the core – from credit score analysis to medical diagnosis. So how does it...
A Guide to Overfitting and Underfitting in Machine Learning
Yes, machine learning is a powerful tool that enables computers to learn from data and make predictions or decisions without being explicitly programmed. However, accurate predictions and correct decisions are based on the ML model understanding patterns and being able...