Best machine learning model for sparse data
Best machine learning model for sparse dataAre you tired of dense data taking over your life? Do you find yourself drowning in a sea...
Define some examples of linear algebra in machine learning.
Define some examples of linear algebra in machine learning.Some examples of linear algebra in machine learning are as follows-Linear regressionRegularizationPrincipal component analysis (PCA)Singular-value decomposition...
Backpropagation algorithm | Application of Backpropagation
Backpropagation algorithmOne of the most important developments in neural networks is the backpropagation algorithm. The error backpropagation algorithm is used for training multilayer perceptrons...
regularization and weight regularization in machine learning
What do you mean by regularization? Explain.Regularization is a very important technique to prevent overfitting in machine learning problems. From a theoretical point of...
Explain the working of backpropagation neural networks with neat architecture and flowchart.
Architecture of backpropagation networkA back propagation neural network is a multilayer, feedforward neural network. It is made up of an input layer, a hidden...
Deep Neural Networks | Principal Components of a Neural Network
What do you understand by deep neural networks?Neural networks (NN) are powerful statistical learning models that can solve complex classification and regression problems. A...
What is Human Learning? | Types of Human Learning
What is Human Learning?In cognitive science, learning is typically referred to as the process of gaining information through observation. And why do we need...
Batch Normalization | Write down the properties of batch normalization.
Batch NormalizationWhat do you understand by batch normalization? Explain.Batch normalization is a recently popularized method for accelerating deep network training by making data standardization...
Type of machine learning Model| types of machine learning supervised unsupervised
Type of machine learningAs highlighted in Figure 1.3, Machine learning can be classified into three broad categories:Supervised learning- Also called predictive learning. A machine...
Explain the term training test and validation sets.
Explain the term training test and validation sets.Choosing the right dataset for a given classification task is of crucial importance for the generalization performance....
