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Linear Regression – Interview Question & Answers !
Linear Regression – Interview Q & A. Table Of Contents: Beginner-Level (Fundamentals) What is Linear Regression? What is the equation of a simple linear regression model? What are the assumptions of linear regression? What is the difference between simple and multiple linear regression? What do the coefficients in a linear regression model represent? How do you interpret the intercept and slope in a regression line? What is the cost function used in linear regression? What is the difference between correlation and regression? What is Mean Squared Error (MSE)? How is R-squared interpreted? What does an R-squared of 0.85 mean? What
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Deep Learning – What Is Early Stopping ?
Deep Learning – What Is Early Stopping ? Table Of Contents: What Is Early Stopping ? Why Is Early Stopping Is Needed ? How Early Stopping Works ? Benefits Of Early Stopping . Visual Representation. Hyperparameter : Patience . (1) What Is Early Stopping ? (2) Why Is Early Stopping Needed ? (3) How Early Stopping Works ? (4) Benefits of Early Stopping . (5) Visual Representation . (6) Hyperparameter: Patience (7) Implementation in Keras (TensorFlow) from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from tensorflow.keras.callbacks import EarlyStopping # 1. Build the model model = Sequential([ Dense(128, activation='relu', input_shape=(input_dim,)), Dense(64,
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Machine Learning – L1 & L2 Regularization.
Machine Learning – L1 & l2 Regularization Table Of Contents: What Is L1 & L2 Regularization ? How Controlling The Magnitude Of The Model’s Coefficients, Overcome Overfitting ? How Too Large Coefficients More Likely To Fit Random Noise In The Training Set ? What Is Sparsity In The Model ? How The L2 Regularization Handle The Larger Weights ? Explain With Mathematical Example How The Weights Are Getting Zero In L1 Normalization ? Why For L2 Regularization Weight Can’t Be Zero Explain With One Example ? (1) What Is L1 & L2 Regularization ? (2) How Controlling The Magnitude Of
