The Role of Data in Machine Learning and Its Importance in Model Accuracy
The role of data in machine learning is essential to model accuracy. High-quality data helps algorithms make informed predictions. Best practices for data pre-processing, transformation, and optimization are key to maximizing accuracy.
Machine Learning is a subfield of artificial intelligence that focuses on the development of algorithms that can learn from data and make predictions or decisions without being explicitly programmed. Machine learning models are trained using data, which is a collection of information used to make informed decisions.
Data is the backbone of machine learning. It provides the input to the …
Read more