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#57 Machine Learning & Data Science Challenge 57

Jan 18, 20232 min read

Detailed explanation about gradient descent using examples and Mathematical expression? Gradient descent is an optimization algorithm used to minimize...

#57 Machine Learning & Data Science Challenge 57

#56 Machine Learning & Data Science Challenge 56

Jan 17, 20232 min read

List down all the activation functions using mathematical Expressions and examples. What is the activation function? Activation functions are very...

#56 Machine Learning & Data Science Challenge 56

#50 Machine Learning & Data Science Challenge 50

Jan 14, 20232 min read

What is the Central limit theorem? Central Limit Theorem: Definition: The theorem states that as the size of the sample increases, the distribution of...

#50 Machine Learning & Data Science Challenge 50

#47 Machine Learning & Data Science Challenge 47

Jan 13, 20232 min read

What is the difference between normalization and Standardization with example? In Machine Learning, every practitioner knows that feature scaling is...

#47 Machine Learning & Data Science Challenge 47

#46 Machine Learning & Data Science Challenge 46

Jan 12, 20232 min read

What is the data normalization method you have applied, and why? Normalization It is a technique often applied as part of data preparation for machine...

#46 Machine Learning & Data Science Challenge 46

#44 Machine Learning & Data Science Challenge 44

Jan 11, 20231 min read

What is Mean Absolute Error? What is Absolute Error? Absolute Error is the amount of error in your measurements. It is the difference between the...

#44 Machine Learning & Data Science Challenge 44