Wisdom

“The purpose of computing is insight, not numbers.” - Richard Hamming,mathematician

Machine Learning Life-Cycle

Since Machine Learning (ML) is a collection of learning techniques used to extract “valuable insight” from data, we need to know what to say about data-at-hand, how machine extract & learnt from data and how to evaluate “extraction” procedure.

Figure 1: ML Lifecycle¹

Statistics syntax in Data Science

Statistical Term	Data Science Term
Estimation	Learning
Classification	Supervised Learning
Clustering	Unsupervised Learning
Covariate/Independent variable	Features
Classifier	Hypothesis

References

1.

Watson, A. Synthetic data and the data-centric machine learning life cycle. (2022).