### How to Treat Overfitting in Convolutional Neural Networks

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, …

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Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, …

Introduction One of the most common problem data science professionals face is to avoid overfitting. Have you come across a situation where your model …

Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in India. …

Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn machine learning …

Overview Ridge and Lasso Regression are types of Regularization techniques Regularization techniques are used to deal with overfitting and when the dataset is large …

Overview Learn about the different regression types in machine learning, including linear and logistic regression Each regression technique has its own regression equation and …

Occam’s Razor, a problem solving principle states that “Among competing hypotheses, the one with the fewest assumptions should be selected. Other, more complicated solutions may ultimately …

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