In Data Science, mathematics plays an important role and some of them are below:
- In selecting the suitable algorithm considering accuracy, training time, model complexity, number of parameters, and number of features.
- In selecting parameter values and validation strategies.
- To identify underfitting and overfitting to maintain the Bias-Variance tradeoff.
- To estimate the right confidence interval.
You can sign up for this Data Science Course by Intellipaat to learn Data Science.
Also, watch this video on Mathematics for Machine Learning:
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