8 Reasons Why AI Data Science and Machine Learning Are Not the Same

Scope of Application

Data Science encompasses diverse techniques, while Machine Learning focuses on predictive algorithms.

Objective

AI Data Science extracts insights for decision-making; Machine Learning creates self-improving models.

Techniques Used

Data Science blends statistics, data mining, and machine learning; Machine Learning relies on specialized algorithms.

Data Handling

Data Science processes raw data; Machine Learning trains models using pre-processed data.

End Goals

Data Science delivers insights and visualizations; Machine Learning develops autonomous predictive systems.

Tools and Technologies

Data Science uses Python, R, SQL; Machine Learning utilizes TensorFlow, Scikit-learn, and PyTorch.

Nature of Work

Data Science is exploratory with hypothesis testing; Machine Learning iteratively optimizes models.